Pandas Profiling Report

Dataset statistics

Number of variables	49
Number of observations	158957
Missing cells	1251928
Missing cells (%)	16.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	59.4 MiB
Average record size in memory	392.0 B

Variable types

Numeric	25
Categorical	23
Unsupported	1

Warnings

`CITY` has constant value "WASHINGTON"	Constant
`STATE` has constant value "DC"	Constant
`SALEDATE` has a high cardinality: 6937 distinct values	High cardinality
`FULLADDRESS` has a high cardinality: 105978 distinct values	High cardinality
`NATIONALGRID` has a high cardinality: 105949 distinct values	High cardinality
`ASSESSMENT_NBHD` has a high cardinality: 57 distinct values	High cardinality
`ASSESSMENT_SUBNBHD` has a high cardinality: 121 distinct values	High cardinality
`CENSUS_BLOCK` has a high cardinality: 3848 distinct values	High cardinality
`Unnamed: 0` is highly correlated with `ROOMS` and 1 other fields	High correlation
`BATHRM` is highly correlated with `ROOMS` and 3 other fields	High correlation
`NUM_UNITS` is highly correlated with `ROOMS` and 2 other fields	High correlation
`ROOMS` is highly correlated with `Unnamed: 0` and 6 other fields	High correlation
`BEDRM` is highly correlated with `Unnamed: 0` and 4 other fields	High correlation
`AYB` is highly correlated with `EYB`	High correlation
`YR_RMDL` is highly correlated with `CMPLX_NUM`	High correlation
`EYB` is highly correlated with `AYB`	High correlation
`PRICE` is highly correlated with `GBA`	High correlation
`GBA` is highly correlated with `BATHRM` and 4 other fields	High correlation
`KITCHENS` is highly correlated with `NUM_UNITS` and 2 other fields	High correlation
`FIREPLACES` is highly correlated with `GBA`	High correlation
`USECODE` is highly correlated with `NUM_UNITS` and 1 other fields	High correlation
`CMPLX_NUM` is highly correlated with `YR_RMDL`	High correlation
`LIVING_GBA` is highly correlated with `BATHRM` and 2 other fields	High correlation
`LATITUDE` is highly correlated with `CENSUS_TRACT` and 1 other fields	High correlation
`LONGITUDE` is highly correlated with `CENSUS_TRACT` and 1 other fields	High correlation
`CENSUS_TRACT` is highly correlated with `LATITUDE` and 3 other fields	High correlation
`X` is highly correlated with `LONGITUDE` and 1 other fields	High correlation
`Y` is highly correlated with `LATITUDE` and 1 other fields	High correlation
`Unnamed: 0` is highly correlated with `ROOMS` and 3 other fields	High correlation
`BATHRM` is highly correlated with `ROOMS` and 3 other fields	High correlation
`NUM_UNITS` is highly correlated with `KITCHENS` and 1 other fields	High correlation
`ROOMS` is highly correlated with `Unnamed: 0` and 5 other fields	High correlation
`BEDRM` is highly correlated with `Unnamed: 0` and 5 other fields	High correlation
`PRICE` is highly correlated with `LIVING_GBA`	High correlation
`GBA` is highly correlated with `BATHRM` and 2 other fields	High correlation
`KITCHENS` is highly correlated with `NUM_UNITS`	High correlation
`USECODE` is highly correlated with `Unnamed: 0` and 1 other fields	High correlation
`LANDAREA` is highly correlated with `Unnamed: 0` and 2 other fields	High correlation
`LIVING_GBA` is highly correlated with `BATHRM` and 3 other fields	High correlation
`LATITUDE` is highly correlated with `LONGITUDE` and 3 other fields	High correlation
`LONGITUDE` is highly correlated with `LATITUDE` and 3 other fields	High correlation
`CENSUS_TRACT` is highly correlated with `LATITUDE` and 3 other fields	High correlation
`X` is highly correlated with `LATITUDE` and 3 other fields	High correlation
`Y` is highly correlated with `LATITUDE` and 3 other fields	High correlation
`Unnamed: 0` is highly correlated with `ROOMS`	High correlation
`BATHRM` is highly correlated with `ROOMS` and 3 other fields	High correlation
`NUM_UNITS` is highly correlated with `KITCHENS`	High correlation
`ROOMS` is highly correlated with `Unnamed: 0` and 5 other fields	High correlation
`BEDRM` is highly correlated with `BATHRM` and 4 other fields	High correlation
`GBA` is highly correlated with `BATHRM` and 2 other fields	High correlation
`KITCHENS` is highly correlated with `NUM_UNITS`	High correlation
`LANDAREA` is highly correlated with `ROOMS` and 1 other fields	High correlation
`LIVING_GBA` is highly correlated with `BATHRM` and 2 other fields	High correlation
`LATITUDE` is highly correlated with `Y`	High correlation
`LONGITUDE` is highly correlated with `CENSUS_TRACT` and 1 other fields	High correlation
`CENSUS_TRACT` is highly correlated with `LONGITUDE` and 1 other fields	High correlation
`X` is highly correlated with `LONGITUDE` and 1 other fields	High correlation
`Y` is highly correlated with `LATITUDE`	High correlation
`ROOMS` is highly correlated with `BATHRM` and 9 other fields	High correlation
`AC` is highly correlated with `EXTWALL` and 5 other fields	High correlation
`QUADRANT` is highly correlated with `Y` and 7 other fields	High correlation
`EXTWALL` is highly correlated with `AC` and 4 other fields	High correlation
`FIREPLACES` is highly correlated with `YR_RMDL`	High correlation
`STRUCT` is highly correlated with `AC` and 8 other fields	High correlation
`BATHRM` is highly correlated with `ROOMS` and 4 other fields	High correlation
`ROOF` is highly correlated with `STRUCT` and 3 other fields	High correlation
`Y` is highly correlated with `QUADRANT` and 8 other fields	High correlation
`LANDAREA` is highly correlated with `ROOMS` and 3 other fields	High correlation
`CMPLX_NUM` is highly correlated with `Y` and 5 other fields	High correlation
`AYB` is highly correlated with `EYB` and 3 other fields	High correlation
`SOURCE` is highly correlated with `ROOMS` and 10 other fields	High correlation
`STYLE` is highly correlated with `STRUCT` and 2 other fields	High correlation
`HF_BATHRM` is highly correlated with `ROOMS` and 1 other fields	High correlation
`WARD` is highly correlated with `QUADRANT` and 12 other fields	High correlation
`LATITUDE` is highly correlated with `QUADRANT` and 8 other fields	High correlation
`CNDTN` is highly correlated with `AC` and 4 other fields	High correlation
`KITCHENS` is highly correlated with `NUM_UNITS`	High correlation
`PRICE` is highly correlated with `GBA`	High correlation
`USECODE` is highly correlated with `STRUCT` and 1 other fields	High correlation
`EYB` is highly correlated with `AC` and 6 other fields	High correlation
`HEAT` is highly correlated with `AC` and 4 other fields	High correlation
`LIVING_GBA` is highly correlated with `ROOMS` and 2 other fields	High correlation
`YR_RMDL` is highly correlated with `FIREPLACES`	High correlation
`BEDRM` is highly correlated with `ROOMS` and 5 other fields	High correlation
`GBA` is highly correlated with `ROOMS` and 5 other fields	High correlation
`CENSUS_TRACT` is highly correlated with `QUADRANT` and 12 other fields	High correlation
`GRADE` is highly correlated with `AC` and 11 other fields	High correlation
`X` is highly correlated with `QUADRANT` and 10 other fields	High correlation
`Unnamed: 0` is highly correlated with `ROOMS` and 14 other fields	High correlation
`ASSESSMENT_NBHD` is highly correlated with `ROOMS` and 21 other fields	High correlation
`NUM_UNITS` is highly correlated with `STRUCT` and 2 other fields	High correlation
`GIS_LAST_MOD_DTTM` is highly correlated with `ROOMS` and 10 other fields	High correlation
`LONGITUDE` is highly correlated with `QUADRANT` and 10 other fields	High correlation
`ROOF` is highly correlated with `CITY` and 3 other fields	High correlation
`AC` is highly correlated with `HEAT` and 2 other fields	High correlation
`QUADRANT` is highly correlated with `CITY` and 3 other fields	High correlation
`HEAT` is highly correlated with `AC` and 4 other fields	High correlation
`CITY` is highly correlated with `ROOF` and 16 other fields	High correlation
`INTWALL` is highly correlated with `CITY` and 3 other fields	High correlation
`ASSESSMENT_NBHD` is highly correlated with `QUADRANT` and 5 other fields	High correlation
`STATE` is highly correlated with `ROOF` and 16 other fields	High correlation
`BLDG_NUM` is highly correlated with `CITY` and 1 other fields	High correlation
`QUALIFIED` is highly correlated with `CITY` and 1 other fields	High correlation
`GIS_LAST_MOD_DTTM` is highly correlated with `ROOF` and 11 other fields	High correlation
`STYLE` is highly correlated with `CITY` and 3 other fields	High correlation
`EXTWALL` is highly correlated with `CITY` and 3 other fields	High correlation
`STRUCT` is highly correlated with `CITY` and 3 other fields	High correlation
`SOURCE` is highly correlated with `ROOF` and 11 other fields	High correlation
`WARD` is highly correlated with `QUADRANT` and 3 other fields	High correlation
`GRADE` is highly correlated with `CITY` and 3 other fields	High correlation
`CNDTN` is highly correlated with `CITY` and 3 other fields	High correlation
`NUM_UNITS` has 52261 (32.9%) missing values	Missing
`YR_RMDL` has 78029 (49.1%) missing values	Missing
`STORIES` has 52305 (32.9%) missing values	Missing
`SALEDATE` has 26770 (16.8%) missing values	Missing
`PRICE` has 60741 (38.2%) missing values	Missing
`GBA` has 52261 (32.9%) missing values	Missing
`STYLE` has 52261 (32.9%) missing values	Missing
`STRUCT` has 52261 (32.9%) missing values	Missing
`GRADE` has 52261 (32.9%) missing values	Missing
`CNDTN` has 52261 (32.9%) missing values	Missing
`EXTWALL` has 52261 (32.9%) missing values	Missing
`ROOF` has 52261 (32.9%) missing values	Missing
`INTWALL` has 52261 (32.9%) missing values	Missing
`KITCHENS` has 52262 (32.9%) missing values	Missing
`CMPLX_NUM` has 106696 (67.1%) missing values	Missing
`LIVING_GBA` has 106696 (67.1%) missing values	Missing
`FULLADDRESS` has 52917 (33.3%) missing values	Missing
`CITY` has 52906 (33.3%) missing values	Missing
`STATE` has 52906 (33.3%) missing values	Missing
`NATIONALGRID` has 52906 (33.3%) missing values	Missing
`ASSESSMENT_SUBNBHD` has 32551 (20.5%) missing values	Missing
`CENSUS_BLOCK` has 52906 (33.3%) missing values	Missing
`YR_RMDL` is highly skewed (γ1 = -21.69324411)	Skewed
`STORIES` is highly skewed (γ1 = 228.6851767)	Skewed
`FIREPLACES` is highly skewed (γ1 = 398.5490354)	Skewed
`LANDAREA` is highly skewed (γ1 = 78.59012056)	Skewed
`Unnamed: 0` is uniformly distributed	Uniform
`FULLADDRESS` is uniformly distributed	Uniform
`NATIONALGRID` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`SQUARE` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`HF_BATHRM` has 93148 (58.6%) zeros	Zeros
`BEDRM` has 5297 (3.3%) zeros	Zeros
`FIREPLACES` has 103837 (65.3%) zeros	Zeros

Reproduction

Analysis started	2021-07-08 05:46:53.159994
Analysis finished	2021-07-08 05:51:09.919361
Duration	4 minutes and 16.76 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	158957
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79478

Minimum	0
Maximum	158956
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	7947.8
Q1	39739
median	79478
Q3	119217
95-th percentile	151008.2
Maximum	158956
Range	158956
Interquartile range (IQR)	79478

Descriptive statistics

Standard deviation	45887.07771
Coefficient of variation (CV)	0.5773557174
Kurtosis	-1.2
Mean	79478
Median Absolute Deviation (MAD)	39739
Skewness	0
Sum	1.263358445 × 10¹⁰
Variance	2105623900
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
7465	1	< 0.1%
54576	1	< 0.1%
11567	1	< 0.1%
9518	1	< 0.1%
15661	1	< 0.1%
13612	1	< 0.1%
3371	1	< 0.1%
1322	1	< 0.1%
5416	1	< 0.1%
Other values (158947)	158947	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
158956	1	< 0.1%
158955	1	< 0.1%
158954	1	< 0.1%
158953	1	< 0.1%
158952	1	< 0.1%
158951	1	< 0.1%
158950	1	< 0.1%
158949	1	< 0.1%
158948	1	< 0.1%
158947	1	< 0.1%

BATHRM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.81067836

Minimum	0
Maximum	14
Zeros	58
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	4
Maximum	14
Range	14
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.9763959589
Coefficient of variation (CV)	0.5392431813
Kurtosis	3.893857213
Mean	1.81067836
Median Absolute Deviation (MAD)	1
Skewness	1.514664494
Sum	287820
Variance	0.9533490686
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	74555	46.9%
2	53325	33.5%
3	20785	13.1%
4	8119	5.1%
5	1367	0.9%
6	500	0.3%
7	129	0.1%
8	71	< 0.1%
0	58	< 0.1%
9	22	< 0.1%
Other values (5)	26	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	58	< 0.1%
1	74555	46.9%
2	53325	33.5%
3	20785	13.1%
4	8119	5.1%
5	1367	0.9%
6	500	0.3%
7	129	0.1%
8	71	< 0.1%
9	22	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
13	1	< 0.1%
12	3	< 0.1%
11	7	< 0.1%
10	14	< 0.1%
9	22	< 0.1%
8	71	< 0.1%
7	129	0.1%
6	500	0.3%
5	1367	0.9%

HF_BATHRM
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4582371333

Minimum	0
Maximum	11
Zeros	93148
Zeros (%)	58.6%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5875714745
Coefficient of variation (CV)	1.282243257
Kurtosis	2.074616926
Mean	0.4582371333
Median Absolute Deviation (MAD)	0
Skewness	1.074096595
Sum	72840
Variance	0.3452402376
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	93148	58.6%
1	59258	37.3%
2	6186	3.9%
3	289	0.2%
4	56	< 0.1%
5	12	< 0.1%
7	3	< 0.1%
6	3	< 0.1%
11	1	< 0.1%
9	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	93148	58.6%
1	59258	37.3%
2	6186	3.9%
3	289	0.2%
4	56	< 0.1%
5	12	< 0.1%
6	3	< 0.1%
7	3	< 0.1%
9	1	< 0.1%
11	1	< 0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
9	1	< 0.1%
7	3	< 0.1%
6	3	< 0.1%
5	12	< 0.1%
4	56	< 0.1%
3	289	0.2%
2	6186	3.9%
1	59258	37.3%
0	93148	58.6%

HEAT
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Forced Air	53972
Hot Water Rad	47202
Warm Cool	33628
Ht Pump	21412
Wall Furnace	1120
Other values (9)	1623

Length

Max length	14
Median length	10
Mean length	10.30165391
Min length	7

Characters and Unicode

Total characters	1637520
Distinct characters	36
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Warm Cool
2nd row	Warm Cool
3rd row	Hot Water Rad
4th row	Hot Water Rad
5th row	Warm Cool

Common Values

Value	Count	Frequency (%)
Forced Air	53972	34.0%
Hot Water Rad	47202	29.7%
Warm Cool	33628	21.2%
Ht Pump	21412	13.5%
Wall Furnace	1120	0.7%
Water Base Brd	402	0.3%
Elec Base Brd	351	0.2%
No Data	330	0.2%
Electric Rad	144	0.1%
Gravity Furnac	140	0.1%
Other values (4)	256	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
air	54011	14.8%
forced	53972	14.8%
water	47604	13.0%
rad	47346	12.9%
hot	47202	12.9%
cool	33678	9.2%
warm	33628	9.2%
pump	21412	5.9%
ht	21412	5.9%
furnace	1120	0.3%
Other values (14)	4367	1.2%

Most occurring characters

Value	Count	Frequency (%)
	206795	12.6%
r	191629	11.7%
o	168860	10.3%
a	132511	8.1%
t	116882	7.1%
e	103944	6.3%
d	102121	6.2%
W	82352	5.0%
H	68614	4.2%
c	55910	3.4%
Other values (26)	407902	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1064739	65.0%
Uppercase Letter	365869	22.3%
Space Separator	206795	12.6%
Dash Punctuation	117	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	191629	18.0%
o	168860	15.9%
a	132511	12.4%
t	116882	11.0%
e	103944	9.8%
d	102121	9.6%
c	55910	5.3%
m	55040	5.2%
i	54579	5.1%
l	36530	3.4%
Other values (9)	46733	4.4%

Uppercase Letter

Value	Count	Frequency (%)
W	82352	22.5%
H	68614	18.8%
F	55232	15.1%
A	54128	14.8%
R	47346	12.9%
C	33678	9.2%
P	21412	5.9%
B	1506	0.4%
E	584	0.2%
N	330	0.1%
Other values (5)	687	0.2%

Space Separator

Value	Count	Frequency (%)
	206795	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1430608	87.4%
Common	206912	12.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	191629	13.4%
o	168860	11.8%
a	132511	9.3%
t	116882	8.2%
e	103944	7.3%
d	102121	7.1%
W	82352	5.8%
H	68614	4.8%
c	55910	3.9%
F	55232	3.9%
Other values (24)	352553	24.6%

Common

Value	Count	Frequency (%)
	206795	99.9%
-	117	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1637520	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	206795	12.6%
r	191629	11.7%
o	168860	10.3%
a	132511	8.1%
t	116882	7.1%
e	103944	6.3%
d	102121	6.2%
W	82352	5.0%
H	68614	4.2%
c	55910	3.4%
Other values (26)	407902	24.9%

AC
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Y	114620
N	44272
0	65

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	158957
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Y
2nd row	Y
3rd row	Y
4th row	Y
5th row	Y

Common Values

Value	Count	Frequency (%)
Y	114620	72.1%
N	44272	27.9%
0	65	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
y	114620	72.1%
n	44272	27.9%
0	65	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
Y	114620	72.1%
N	44272	27.9%
0	65	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	158892	> 99.9%
Decimal Number	65	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	114620	72.1%
N	44272	27.9%

Decimal Number

Value	Count	Frequency (%)
0	65	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158892	> 99.9%
Common	65	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	114620	72.1%
N	44272	27.9%

Common

Value	Count	Frequency (%)
0	65	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158957	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	114620	72.1%
N	44272	27.9%
0	65	< 0.1%

NUM_UNITS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.198039289

Minimum	0
Maximum	6
Zeros	168
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5969244151
Coefficient of variation (CV)	0.4982511179
Kurtosis	12.38589718
Mean	1.198039289
Median Absolute Deviation (MAD)	0
Skewness	3.467857332
Sum	127826
Variance	0.3563187574
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	92491	58.2%
2	9864	6.2%
4	3059	1.9%
3	1101	0.7%
0	168	0.1%
5	10	< 0.1%
6	3	< 0.1%
(Missing)	52261	32.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	168	0.1%
1	92491	58.2%
2	9864	6.2%
3	1101	0.7%
4	3059	1.9%
5	10	< 0.1%
6	3	< 0.1%

Value	Count	Frequency (%)
6	3	< 0.1%
5	10	< 0.1%
4	3059	1.9%
3	1101	0.7%
2	9864	6.2%
1	92491	58.2%
0	168	0.1%

ROOMS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	40
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.187736306

Minimum	0
Maximum	48
Zeros	138
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	6
Q3	7
95-th percentile	11
Maximum	48
Range	48
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.618164876
Coefficient of variation (CV)	0.4231215984
Kurtosis	4.563615163
Mean	6.187736306
Median Absolute Deviation (MAD)	2
Skewness	1.283358565
Sum	983584
Variance	6.854787319
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
6	37259	23.4%
7	22338	14.1%
4	20593	13.0%
3	17759	11.2%
5	16852	10.6%
8	16327	10.3%
9	7616	4.8%
10	5909	3.7%
2	5294	3.3%
12	2929	1.8%
Other values (30)	6081	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	138	0.1%
1	96	0.1%
2	5294	3.3%
3	17759	11.2%
4	20593	13.0%
5	16852	10.6%
6	37259	23.4%
7	22338	14.1%
8	16327	10.3%
9	7616	4.8%

Value	Count	Frequency (%)
48	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
39	2	< 0.1%
37	1	< 0.1%
35	1	< 0.1%
34	1	< 0.1%
32	1	< 0.1%
31	1	< 0.1%
30	1	< 0.1%

BEDRM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.732506275

Minimum	0
Maximum	24
Zeros	5297
Zeros (%)	3.3%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	5
Maximum	24
Range	24
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.358864244
Coefficient of variation (CV)	0.497295928
Kurtosis	2.951014382
Mean	2.732506275
Median Absolute Deviation (MAD)	1
Skewness	0.7307726738
Sum	434351
Variance	1.846512034
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	57864	36.4%
2	34946	22.0%
4	24893	15.7%
1	24181	15.2%
5	6898	4.3%
0	5297	3.3%
6	3090	1.9%
8	792	0.5%
7	750	0.5%
9	123	0.1%
Other values (10)	123	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5297	3.3%
1	24181	15.2%
2	34946	22.0%
3	57864	36.4%
4	24893	15.7%
5	6898	4.3%
6	3090	1.9%
7	750	0.5%
8	792	0.5%
9	123	0.1%

Value	Count	Frequency (%)
24	1	< 0.1%
20	1	< 0.1%
19	1	< 0.1%
16	2	< 0.1%
15	3	< 0.1%
14	2	< 0.1%
13	4	< 0.1%
12	34	< 0.1%
11	13	< 0.1%
10	62	< 0.1%

AYB
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	220
Distinct (%)	0.1%
Missing	271
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	1941.987579

Minimum	1754
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1754
5-th percentile	1900
Q1	1918
median	1937
Q3	1960
95-th percentile	2007
Maximum	2019
Range	265
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	33.64023358
Coefficient of variation (CV)	0.01732257916
Kurtosis	-0.07799373814
Mean	1941.987579
Median Absolute Deviation (MAD)	21
Skewness	0.5112530606
Sum	308166241
Variance	1131.665315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1900	8967	5.6%
1925	5129	3.2%
1910	4563	2.9%
1940	4316	2.7%
1923	3724	2.3%
1927	3707	2.3%
1941	3420	2.2%
1926	3117	2.0%
1942	3058	1.9%
1939	2849	1.8%
Other values (210)	115836	72.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1754	2	< 0.1%
1765	1	< 0.1%
1776	3	< 0.1%
1780	4	< 0.1%
1782	1	< 0.1%
1784	1	< 0.1%
1785	1	< 0.1%
1787	1	< 0.1%
1788	1	< 0.1%
1790	3	< 0.1%

Value	Count	Frequency (%)
2019	1	< 0.1%
2018	98	0.1%
2017	592	0.4%
2016	1016	0.6%
2015	906	0.6%
2014	683	0.4%
2013	794	0.5%
2012	438	0.3%
2011	389	0.2%
2010	380	0.2%

YR_RMDL
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	110
Distinct (%)	0.1%
Missing	78029
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	1998.243537

Minimum	20
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	20
5-th percentile	1973
Q1	1985
median	2004
Q3	2010
95-th percentile	2016
Maximum	2019
Range	1999
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	16.57578569
Coefficient of variation (CV)	0.008295177927
Kurtosis	2506.352909
Mean	1998.243537
Median Absolute Deviation (MAD)	9
Skewness	-21.69324411
Sum	161713853
Variance	274.7566711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2006	5029	3.2%
2005	4937	3.1%
2004	3985	2.5%
2007	3771	2.4%
1980	3310	2.1%
2003	2951	1.9%
2011	2856	1.8%
2008	2766	1.7%
1978	2690	1.7%
2010	2680	1.7%
Other values (100)	45953	28.9%
(Missing)	78029	49.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	1	< 0.1%
1880	2	< 0.1%
1900	2	< 0.1%
1910	1	< 0.1%
1911	1	< 0.1%
1912	1	< 0.1%
1913	1	< 0.1%
1915	1	< 0.1%
1916	2	< 0.1%
1917	2	< 0.1%

Value	Count	Frequency (%)
2019	1	< 0.1%
2018	417	0.3%
2017	1991	1.3%
2016	2190	1.4%
2015	2595	1.6%
2014	2645	1.7%
2013	2561	1.6%
2012	2648	1.7%
2011	2856	1.8%
2010	2680	1.7%

EYB
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	135
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1963.718024

Minimum	1800
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1800
5-th percentile	1919
Q1	1954
median	1963
Q3	1975
95-th percentile	2009
Maximum	2018
Range	218
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	24.92315012
Coefficient of variation (CV)	0.01269181716
Kurtosis	0.6211768164
Mean	1963.718024
Median Absolute Deviation (MAD)	9
Skewness	-0.1224757013
Sum	312146726
Variance	621.1634118
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1957	12541	7.9%
1954	12346	7.8%
1967	10408	6.5%
1964	9362	5.9%
1960	7636	4.8%
1969	7033	4.4%
1943	5022	3.2%
1919	4707	3.0%
1950	4522	2.8%
1947	3718	2.3%
Other values (125)	81662	51.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1800	4	< 0.1%
1820	6	< 0.1%
1865	4	< 0.1%
1870	10	< 0.1%
1875	100	0.1%
1876	6	< 0.1%
1880	55	< 0.1%
1885	153	0.1%
1886	4	< 0.1%
1887	23	< 0.1%

Value	Count	Frequency (%)
2018	186	0.1%
2017	886	0.6%
2016	1032	0.6%
2015	1360	0.9%
2014	716	0.5%
2013	886	0.6%
2012	507	0.3%
2011	726	0.5%
2010	963	0.6%
2009	707	0.4%

STORIES
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	40
Distinct (%)	< 0.1%
Missing	52305
Missing (%)	32.9%
Infinite	0
Infinite (%)	0.0%
Mean	2.091793122

Minimum	0
Maximum	826
Zeros	43
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	1.5
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	826
Range	826
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.933322657
Coefficient of variation (CV)	1.402300556
Kurtosis	60245.74008
Mean	2.091793122
Median Absolute Deviation (MAD)	0
Skewness	228.6851767
Sum	223093.92
Variance	8.604381812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
2	79357	49.9%
3	9230	5.8%
2.5	6105	3.8%
1	4683	2.9%
1.5	2291	1.4%
2.25	2225	1.4%
1.75	1175	0.7%
1.25	452	0.3%
2.75	444	0.3%
4	375	0.2%
Other values (30)	315	0.2%
(Missing)	52305	32.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	43	< 0.1%
0.25	1	< 0.1%
0.5	1	< 0.1%
0.75	1	< 0.1%
1	4683	2.9%
1.25	452	0.3%
1.34	1	< 0.1%
1.5	2291	1.4%
1.7	4	< 0.1%
1.75	1175	0.7%

Value	Count	Frequency (%)
826	1	< 0.1%
275	2	< 0.1%
250	1	< 0.1%
65	1	< 0.1%
43	1	< 0.1%
25	4	< 0.1%
20	1	< 0.1%
12	1	< 0.1%
9	36	< 0.1%
8.25	1	< 0.1%

SALEDATE
Categorical

HIGH CARDINALITY
MISSING

Distinct	6937
Distinct (%)	5.2%
Missing	26770
Missing (%)	16.8%
Memory size	1.2 MiB

2007-04-10 00:00:00	413
1999-04-01 00:00:00	266
2001-01-01 00:00:00	258
2015-11-17 00:00:00	160
2010-05-04 00:00:00	134
Other values (6932)	130956

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	2511553
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	539 ?
Unique (%)	0.4%

Sample

1st row	2003-11-25 00:00:00
2nd row	2000-08-17 00:00:00
3rd row	2016-06-21 00:00:00
4th row	2006-07-12 00:00:00
5th row	2010-02-26 00:00:00

Common Values

Value	Count	Frequency (%)
2007-04-10 00:00:00	413	0.3%
1999-04-01 00:00:00	266	0.2%
2001-01-01 00:00:00	258	0.2%
2015-11-17 00:00:00	160	0.1%
2010-05-04 00:00:00	134	0.1%
2017-06-14 00:00:00	124	0.1%
2018-05-29 00:00:00	104	0.1%
2016-10-31 00:00:00	95	0.1%
2018-07-03 00:00:00	88	0.1%
2018-05-15 00:00:00	85	0.1%
Other values (6927)	130460	82.1%
(Missing)	26770	16.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	132187	50.0%
2007-04-10	413	0.2%
1999-04-01	266	0.1%
2001-01-01	258	0.1%
2015-11-17	160	0.1%
2010-05-04	134	0.1%
2017-06-14	124	< 0.1%
2018-05-29	104	< 0.1%
2016-10-31	95	< 0.1%
2018-07-03	88	< 0.1%
Other values (6928)	130545	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	1133288	45.1%
-	264374	10.5%
:	264374	10.5%
1	204851	8.2%
2	204719	8.2%
	132187	5.3%
9	56502	2.2%
7	45174	1.8%
3	44372	1.8%
6	42700	1.7%
Other values (3)	119012	4.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1850618	73.7%
Dash Punctuation	264374	10.5%
Other Punctuation	264374	10.5%
Space Separator	132187	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1133288	61.2%
1	204851	11.1%
2	204719	11.1%
9	56502	3.1%
7	45174	2.4%
3	44372	2.4%
6	42700	2.3%
5	41316	2.2%
4	39264	2.1%
8	38432	2.1%

Dash Punctuation

Value	Count	Frequency (%)
-	264374	100.0%

Space Separator

Value	Count	Frequency (%)
	132187	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	264374	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2511553	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1133288	45.1%
-	264374	10.5%
:	264374	10.5%
1	204851	8.2%
2	204719	8.2%
	132187	5.3%
9	56502	2.2%
7	45174	1.8%
3	44372	1.8%
6	42700	1.7%
Other values (3)	119012	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2511553	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1133288	45.1%
-	264374	10.5%
:	264374	10.5%
1	204851	8.2%
2	204719	8.2%
	132187	5.3%
9	56502	2.2%
7	45174	1.8%
3	44372	1.8%
6	42700	1.7%
Other values (3)	119012	4.7%

PRICE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13486
Distinct (%)	13.7%
Missing	60741
Missing (%)	38.2%
Infinite	0
Infinite (%)	0.0%
Mean	931351.5949

Minimum	1
Maximum	137427545
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1
5-th percentile	93086.75
Q1	240000
median	399999
Q3	652000
95-th percentile	1350000
Maximum	137427545
Range	137427544
Interquartile range (IQR)	412000

Descriptive statistics

Standard deviation	7061324.956
Coefficient of variation (CV)	7.581803686
Kurtosis	344.9019408
Mean	931351.5949
Median Absolute Deviation (MAD)	192999
Skewness	18.3162491
Sum	9.147362825 × 10¹⁰
Variance	4.986231013 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350000	595	0.4%
250000	536	0.3%
300000	523	0.3%
450000	519	0.3%
375000	488	0.3%
325000	482	0.3%
550000	459	0.3%
275000	455	0.3%
500000	426	0.3%
320000	425	0.3%
Other values (13476)	93308	58.7%
(Missing)	60741	38.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	5	< 0.1%
10	4	< 0.1%
250	14	< 0.1%
500	4	< 0.1%
936	1	< 0.1%
1000	5	< 0.1%
1377	1	< 0.1%
2000	2	< 0.1%
3000	2	< 0.1%
3270	1	< 0.1%

Value	Count	Frequency (%)
137427545	242	0.2%
53969391	118	0.1%
53696391	1	< 0.1%
25100000	1	< 0.1%
25000000	1	< 0.1%
23960287	1	< 0.1%
22000000	1	< 0.1%
18000000	1	< 0.1%
16100000	1	< 0.1%
15000000	1	< 0.1%

QUALIFIED
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

U	82608
Q	76349

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	158957
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Q
2nd row	U
3rd row	Q
4th row	Q
5th row	U

Common Values

Value	Count	Frequency (%)
U	82608	52.0%
Q	76349	48.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
u	82608	52.0%
q	76349	48.0%

Most occurring characters

Value	Count	Frequency (%)
U	82608	52.0%
Q	76349	48.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	158957	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	82608	52.0%
Q	76349	48.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	158957	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	82608	52.0%
Q	76349	48.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158957	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	82608	52.0%
Q	76349	48.0%

SALE_NUM
Real number (ℝ_≥0)

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.680032965

Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	15
Range	14
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.285898145
Coefficient of variation (CV)	0.7654005437
Kurtosis	4.895860251
Mean	1.680032965
Median Absolute Deviation (MAD)	0
Skewness	2.131739779
Sum	267053
Variance	1.653534039
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	113671	71.5%
3	14738	9.3%
2	12901	8.1%
4	9851	6.2%
5	4687	2.9%
6	1970	1.2%
7	703	0.4%
8	261	0.2%
9	108	0.1%
10	37	< 0.1%
Other values (5)	30	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	113671	71.5%
2	12901	8.1%
3	14738	9.3%
4	9851	6.2%
5	4687	2.9%
6	1970	1.2%
7	703	0.4%
8	261	0.2%
9	108	0.1%
10	37	< 0.1%

Value	Count	Frequency (%)
15	2	< 0.1%
14	2	< 0.1%
13	3	< 0.1%
12	6	< 0.1%
11	17	< 0.1%
10	37	< 0.1%
9	108	0.1%
8	261	0.2%
7	703	0.4%
6	1970	1.2%

GBA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4764
Distinct (%)	4.5%
Missing	52261
Missing (%)	32.9%
Infinite	0
Infinite (%)	0.0%
Mean	1714.539889

Minimum	0
Maximum	45384
Zeros	15
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	864
Q1	1190
median	1480
Q3	1966
95-th percentile	3262
Maximum	45384
Range	45384
Interquartile range (IQR)	776

Descriptive statistics

Standard deviation	880.6778604
Coefficient of variation (CV)	0.5136525933
Kurtosis	135.3073343
Mean	1714.539889
Median Absolute Deviation (MAD)	342
Skewness	5.635667353
Sum	182934548
Variance	775593.4937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1088	1782	1.1%
1152	1661	1.0%
1024	1405	0.9%
832	1364	0.9%
1280	1236	0.8%
1080	1094	0.7%
1200	877	0.6%
1360	862	0.5%
1440	815	0.5%
800	723	0.5%
Other values (4754)	94877	59.7%
(Missing)	52261	32.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	< 0.1%
180	1	< 0.1%
252	1	< 0.1%
299	1	< 0.1%
340	1	< 0.1%
360	1	< 0.1%
371	2	< 0.1%
380	1	< 0.1%
392	1	< 0.1%
396	1	< 0.1%

Value	Count	Frequency (%)
45384	1	< 0.1%
41604	1	< 0.1%
27451	1	< 0.1%
24030	1	< 0.1%
21210	1	< 0.1%
20948	1	< 0.1%
20120	1	< 0.1%
20015	1	< 0.1%
18784	1	< 0.1%
18588	1	< 0.1%

BLDG_NUM
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

1	158884
2	59
3	8
4	4
5	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	158957
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	158957	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	158957	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	158957	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	158884	> 99.9%
2	59	< 0.1%
3	8	< 0.1%
4	4	< 0.1%
5	2	< 0.1%

STYLE
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

2 Story	81137
3 Story	9449
2.5 Story Fin	7000
1 Story	4420
1.5 Story Fin	2655
Other values (13)	2035

Length

Max length	15
Median length	7
Mean length	7.636987328
Min length	6

Characters and Unicode

Total characters	814836
Distinct characters	34
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	3 Story
2nd row	3 Story
3rd row	3 Story
4th row	3 Story
5th row	3 Story

Common Values

Value	Count	Frequency (%)
2 Story	81137	51.0%
3 Story	9449	5.9%
2.5 Story Fin	7000	4.4%
1 Story	4420	2.8%
1.5 Story Fin	2655	1.7%
2.5 Story Unfin	729	0.5%
4 Story	369	0.2%
Split Level	303	0.2%
Split Foyer	279	0.2%
3.5 Story Fin	133	0.1%
Other values (8)	222	0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
story	106027	47.3%
2	81137	36.2%
fin	9801	4.4%
3	9449	4.2%
2.5	7729	3.5%
1	4420	2.0%
1.5	2767	1.2%
unfin	851	0.4%
split	582	0.3%
4	369	0.2%
Other values (8)	825	0.4%

Most occurring characters

Value	Count	Frequency (%)
	117261	14.4%
t	106677	13.1%
S	106609	13.1%
o	106306	13.0%
r	106306	13.0%
y	106306	13.0%
2	88866	10.9%
n	11506	1.4%
i	11255	1.4%
.	10652	1.3%
Other values (24)	43092	5.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	452276	55.5%
Uppercase Letter	117949	14.5%
Space Separator	117261	14.4%
Decimal Number	116679	14.3%
Other Punctuation	10652	1.3%
Dash Punctuation	19	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	106677	23.6%
o	106306	23.5%
r	106306	23.5%
y	106306	23.5%
n	11506	2.5%
i	11255	2.5%
e	988	0.2%
l	970	0.2%
f	916	0.2%
p	582	0.1%
Other values (8)	464	0.1%

Uppercase Letter

Value	Count	Frequency (%)
S	106609	90.4%
F	10080	8.5%
U	851	0.7%
L	322	0.3%
D	65	0.1%
B	19	< 0.1%
V	2	< 0.1%
O	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
2	88866	76.2%
5	10652	9.1%
3	9590	8.2%
1	7187	6.2%
4	384	0.3%

Space Separator

Value	Count	Frequency (%)
	117261	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	10652	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	570225	70.0%
Common	244611	30.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	106677	18.7%
S	106609	18.7%
o	106306	18.6%
r	106306	18.6%
y	106306	18.6%
n	11506	2.0%
i	11255	2.0%
F	10080	1.8%
e	988	0.2%
l	970	0.2%
Other values (16)	3222	0.6%

Common

Value	Count	Frequency (%)
	117261	47.9%
2	88866	36.3%
.	10652	4.4%
5	10652	4.4%
3	9590	3.9%
1	7187	2.9%
4	384	0.2%
-	19	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	814836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	117261	14.4%
t	106677	13.1%
S	106609	13.1%
o	106306	13.0%
r	106306	13.0%
y	106306	13.0%
2	88866	10.9%
n	11506	1.4%
i	11255	1.4%
.	10652	1.3%
Other values (24)	43092	5.3%

STRUCT
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Row Inside	40593
Single	32063
Semi-Detached	16756
Row End	12225
Multi	4726
Other values (4)	333

Length

Max length	13
Median length	10
Mean length	8.70365337
Min length	5

Characters and Unicode

Total characters	928645
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Row Inside
2nd row	Row Inside
3rd row	Row Inside
4th row	Row Inside
5th row	Semi-Detached

Common Values

Value	Count	Frequency (%)
Row Inside	40593	25.5%
Single	32063	20.2%
Semi-Detached	16756	10.5%
Row End	12225	7.7%
Multi	4726	3.0%
Town Inside	218	0.1%
Town End	85	0.1%
Default	26	< 0.1%
Vacant Land	4	< 0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
row	52818	33.0%
inside	40811	25.5%
single	32063	20.1%
semi-detached	16756	10.5%
end	12310	7.7%
multi	4726	3.0%
town	303	0.2%
default	26	< 0.1%
land	4	< 0.1%
vacant	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	123168	13.3%
i	94356	10.2%
n	85495	9.2%
d	69881	7.5%
	53125	5.7%
o	53121	5.7%
w	53121	5.7%
R	52818	5.7%
S	48819	5.3%
I	40811	4.4%
Other values (17)	253930	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	682187	73.5%
Uppercase Letter	176577	19.0%
Space Separator	53125	5.7%
Dash Punctuation	16756	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	123168	18.1%
i	94356	13.8%
n	85495	12.5%
d	69881	10.2%
o	53121	7.8%
w	53121	7.8%
s	40811	6.0%
l	36815	5.4%
g	32063	4.7%
t	21512	3.2%
Other values (6)	71844	10.5%

Uppercase Letter

Value	Count	Frequency (%)
R	52818	29.9%
S	48819	27.6%
I	40811	23.1%
D	16782	9.5%
E	12310	7.0%
M	4726	2.7%
T	303	0.2%
V	4	< 0.1%
L	4	< 0.1%

Space Separator

Value	Count	Frequency (%)
	53125	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	16756	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	858764	92.5%
Common	69881	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	123168	14.3%
i	94356	11.0%
n	85495	10.0%
d	69881	8.1%
o	53121	6.2%
w	53121	6.2%
R	52818	6.2%
S	48819	5.7%
I	40811	4.8%
s	40811	4.8%
Other values (15)	196363	22.9%

Common

Value	Count	Frequency (%)
	53125	76.0%
-	16756	24.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	928645	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	123168	13.3%
i	94356	10.2%
n	85495	9.2%
d	69881	7.5%
	53125	5.7%
o	53121	5.7%
w	53121	5.7%
R	52818	5.7%
S	48819	5.3%
I	40811	4.4%
Other values (17)	253930	27.3%

GRADE
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Average	37357
Above Average	32101
Good Quality	20800
Very Good	8976
Excellent	3390
Other values (8)	4072

Length

Max length	13
Median length	12
Mean length	10.11468096
Min length	7

Characters and Unicode

Total characters	1079196
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Good
2nd row	Very Good
3rd row	Very Good
4th row	Very Good
5th row	Very Good

Common Values

Value	Count	Frequency (%)
Average	37357	23.5%
Above Average	32101	20.2%
Good Quality	20800	13.1%
Very Good	8976	5.6%
Excellent	3390	2.1%
Superior	2634	1.7%
Exceptional-A	818	0.5%
Exceptional-B	278	0.2%
Fair Quality	150	0.1%
Exceptional-C	92	0.1%
Other values (3)	100	0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
average	69458	41.2%
above	32101	19.0%
good	29776	17.6%
quality	20956	12.4%
very	8976	5.3%
excellent	3390	2.0%
superior	2634	1.6%
exceptional-a	818	0.5%
exceptional-b	278	0.2%
fair	150	0.1%
Other values (5)	211	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	190670	17.7%
A	102377	9.5%
v	101559	9.4%
o	95575	8.9%
a	91865	8.5%
r	83852	7.8%
g	69458	6.4%
	62052	5.7%
b	32101	3.0%
y	29932	2.8%
Other values (22)	219755	20.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	845870	78.4%
Uppercase Letter	170011	15.8%
Space Separator	62052	5.7%
Dash Punctuation	1263	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	190670	22.5%
v	101559	12.0%
o	95575	11.3%
a	91865	10.9%
r	83852	9.9%
g	69458	8.2%
b	32101	3.8%
y	29932	3.5%
d	29776	3.5%
l	28999	3.4%
Other values (8)	92083	10.9%

Uppercase Letter

Value	Count	Frequency (%)
A	102377	60.2%
G	29776	17.5%
Q	20956	12.3%
V	8976	5.3%
E	4653	2.7%
S	2634	1.5%
B	278	0.2%
F	150	0.1%
D	94	0.1%
C	92	0.1%
Other values (2)	25	< 0.1%

Space Separator

Value	Count	Frequency (%)
	62052	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1263	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1015881	94.1%
Common	63315	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	190670	18.8%
A	102377	10.1%
v	101559	10.0%
o	95575	9.4%
a	91865	9.0%
r	83852	8.3%
g	69458	6.8%
b	32101	3.2%
y	29932	2.9%
G	29776	2.9%
Other values (20)	188716	18.6%

Common

Value	Count	Frequency (%)
	62052	98.0%
-	1263	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1079196	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	190670	17.7%
A	102377	9.5%
v	101559	9.4%
o	95575	8.9%
a	91865	8.5%
r	83852	7.8%
g	69458	6.4%
	62052	5.7%
b	32101	3.0%
y	29932	2.8%
Other values (22)	219755	20.4%

CNDTN
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Average	58217
Good	37497
Very Good	8130
Excellent	1338
Fair	1320
Other values (2)	194

Length

Max length	9
Median length	7
Mean length	6.08112769
Min length	4

Characters and Unicode

Total characters	648832
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Very Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Average	58217	36.6%
Good	37497	23.6%
Very Good	8130	5.1%
Excellent	1338	0.8%
Fair	1320	0.8%
Poor	175	0.1%
Default	19	< 0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
average	58217	50.7%
good	45627	39.7%
very	8130	7.1%
excellent	1338	1.2%
fair	1320	1.1%
poor	175	0.2%
default	19	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	127259	19.6%
o	91604	14.1%
r	67842	10.5%
a	59556	9.2%
A	58217	9.0%
v	58217	9.0%
g	58217	9.0%
G	45627	7.0%
d	45627	7.0%
V	8130	1.3%
Other values (14)	28536	4.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	525876	81.0%
Uppercase Letter	114826	17.7%
Space Separator	8130	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	127259	24.2%
o	91604	17.4%
r	67842	12.9%
a	59556	11.3%
v	58217	11.1%
g	58217	11.1%
d	45627	8.7%
y	8130	1.5%
l	2695	0.5%
t	1357	0.3%
Other values (6)	5372	1.0%

Uppercase Letter

Value	Count	Frequency (%)
A	58217	50.7%
G	45627	39.7%
V	8130	7.1%
E	1338	1.2%
F	1320	1.1%
P	175	0.2%
D	19	< 0.1%

Space Separator

Value	Count	Frequency (%)
	8130	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	640702	98.7%
Common	8130	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	127259	19.9%
o	91604	14.3%
r	67842	10.6%
a	59556	9.3%
A	58217	9.1%
v	58217	9.1%
g	58217	9.1%
G	45627	7.1%
d	45627	7.1%
V	8130	1.3%
Other values (13)	20406	3.2%

Common

Value	Count	Frequency (%)
	8130	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	648832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	127259	19.6%
o	91604	14.1%
r	67842	10.5%
a	59556	9.2%
A	58217	9.0%
v	58217	9.0%
g	58217	9.0%
G	45627	7.0%
d	45627	7.0%
V	8130	1.3%
Other values (14)	28536	4.4%

EXTWALL
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Common Brick	81068
Brick/Siding	5569
Vinyl Siding	5290
Wood Siding	4540
Stucco	3216
Other values (20)	7013

Length

Max length	14
Median length	12
Mean length	11.61341569
Min length	5

Characters and Unicode

Total characters	1239105
Distinct characters	35
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Common Brick
2nd row	Common Brick
3rd row	Common Brick
4th row	Common Brick
5th row	Common Brick

Common Values

Value	Count	Frequency (%)
Common Brick	81068	51.0%
Brick/Siding	5569	3.5%
Vinyl Siding	5290	3.3%
Wood Siding	4540	2.9%
Stucco	3216	2.0%
Shingle	1181	0.7%
Brick Veneer	1069	0.7%
Aluminum	954	0.6%
Stone	744	0.5%
Brick/Stucco	673	0.4%
Other values (15)	2392	1.5%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brick	82649	41.4%
common	81068	40.6%
siding	9896	5.0%
brick/siding	5569	2.8%
vinyl	5290	2.7%
wood	4540	2.3%
stucco	3267	1.6%
veneer	1323	0.7%
shingle	1181	0.6%
stone	998	0.5%
Other values (16)	3820	1.9%

Most occurring characters

Value	Count	Frequency (%)
o	177988	14.4%
m	164044	13.2%
i	128551	10.4%
n	107957	8.7%
c	98627	8.0%
	92905	7.5%
r	91215	7.4%
B	89622	7.2%
k	89622	7.2%
C	81204	6.6%
Other values (25)	117370	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	931708	75.2%
Uppercase Letter	207047	16.7%
Space Separator	92905	7.5%
Other Punctuation	7445	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	177988	19.1%
m	164044	17.6%
i	128551	13.8%
n	107957	11.6%
c	98627	10.6%
r	91215	9.8%
k	89622	9.6%
d	20599	2.2%
g	16986	1.8%
e	8236	0.9%
Other values (10)	27883	3.0%

Uppercase Letter

Value	Count	Frequency (%)
B	89622	43.3%
C	81204	39.2%
S	23365	11.3%
V	6613	3.2%
W	4540	2.2%
A	956	0.5%
F	512	0.2%
H	119	0.1%
M	66	< 0.1%
D	32	< 0.1%
Other values (3)	18	< 0.1%

Space Separator

Value	Count	Frequency (%)
	92905	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	7445	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1138755	91.9%
Common	100350	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	177988	15.6%
m	164044	14.4%
i	128551	11.3%
n	107957	9.5%
c	98627	8.7%
r	91215	8.0%
B	89622	7.9%
k	89622	7.9%
C	81204	7.1%
S	23365	2.1%
Other values (23)	86560	7.6%

Common

Value	Count	Frequency (%)
	92905	92.6%
/	7445	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1239105	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	177988	14.4%
m	164044	13.2%
i	128551	10.4%
n	107957	8.7%
c	98627	8.0%
	92905	7.5%
r	91215	7.4%
B	89622	7.2%
k	89622	7.2%
C	81204	6.6%
Other values (25)	117370	9.5%

ROOF
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Built Up	31402
Comp Shingle	30301
Metal- Sms	29957
Slate	11135
Neopren	1254
Other values (11)	2647

Length

Max length	14
Median length	10
Mean length	9.359226213
Min length	5

Characters and Unicode

Total characters	998592
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Metal- Sms
2nd row	Built Up
3rd row	Built Up
4th row	Built Up
5th row	Neopren

Common Values

Value	Count	Frequency (%)
Built Up	31402	19.8%
Comp Shingle	30301	19.1%
Metal- Sms	29957	18.8%
Slate	11135	7.0%
Neopren	1254	0.8%
Shake	907	0.6%
Clay Tile	654	0.4%
Shingle	433	0.3%
Metal- Pre	244	0.2%
Typical	229	0.1%
Other values (6)	180	0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
built	31402	15.7%
up	31402	15.7%
shingle	30734	15.4%
comp	30301	15.2%
metal	30242	15.2%
sms	29957	15.0%
slate	11135	5.6%
neopren	1254	0.6%
shake	907	0.5%
tile	671	0.3%
Other values (11)	1425	0.7%

Most occurring characters

Value	Count	Frequency (%)
l	105067	10.5%
	92734	9.3%
e	76492	7.7%
t	72911	7.3%
S	72740	7.3%
p	63329	6.3%
i	63240	6.3%
m	60360	6.0%
a	43176	4.3%
n	32111	3.2%
Other values (22)	316432	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	676172	67.7%
Uppercase Letter	199437	20.0%
Space Separator	92734	9.3%
Dash Punctuation	30249	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	105067	15.5%
e	76492	11.3%
t	72911	10.8%
p	63329	9.4%
i	63240	9.4%
m	60360	8.9%
a	43176	6.4%
n	32111	4.7%
o	32016	4.7%
h	31641	4.7%
Other values (9)	95829	14.2%

Uppercase Letter

Value	Count	Frequency (%)
S	72740	36.5%
B	31402	15.7%
U	31402	15.7%
C	31119	15.6%
M	30242	15.2%
N	1254	0.6%
T	900	0.5%
P	253	0.1%
R	102	0.1%
W	16	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	30249	100.0%

Space Separator

Value	Count	Frequency (%)
	92734	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	875609	87.7%
Common	122983	12.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	105067	12.0%
e	76492	8.7%
t	72911	8.3%
S	72740	8.3%
p	63329	7.2%
i	63240	7.2%
m	60360	6.9%
a	43176	4.9%
n	32111	3.7%
o	32016	3.7%
Other values (20)	254167	29.0%

Common

Value	Count	Frequency (%)
	92734	75.4%
-	30249	24.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	998592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	105067	10.5%
	92734	9.3%
e	76492	7.7%
t	72911	7.3%
S	72740	7.3%
p	63329	6.3%
i	63240	6.3%
m	60360	6.0%
a	43176	4.3%
n	32111	3.2%
Other values (22)	316432	31.7%

INTWALL
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	52261
Missing (%)	32.9%
Memory size	1.2 MiB

Hardwood	83643
Hardwood/Carp	10938
Wood Floor	8170
Carpet	3563
Lt Concrete	141
Other values (7)	241

Length

Max length	13
Median length	8
Mean length	8.604540001
Min length	6

Characters and Unicode

Total characters	918070
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hardwood
2nd row	Hardwood
3rd row	Hardwood
4th row	Hardwood
5th row	Hardwood

Common Values

Value	Count	Frequency (%)
Hardwood	83643	52.6%
Hardwood/Carp	10938	6.9%
Wood Floor	8170	5.1%
Carpet	3563	2.2%
Lt Concrete	141	0.1%
Default	110	0.1%
Ceramic Tile	50	< 0.1%
Vinyl Comp	28	< 0.1%
Parquet	19	< 0.1%
Resiliant	15	< 0.1%
Other values (2)	19	< 0.1%
(Missing)	52261	32.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
hardwood	83643	72.7%
hardwood/carp	10938	9.5%
floor	8170	7.1%
wood	8170	7.1%
carpet	3563	3.1%
concrete	141	0.1%
lt	141	0.1%
default	110	0.1%
tile	50	< 0.1%
ceramic	50	< 0.1%
Other values (6)	122	0.1%

Most occurring characters

Value	Count	Frequency (%)
o	222017	24.2%
d	197332	21.5%
r	117474	12.8%
a	109282	11.9%
H	94581	10.3%
w	94581	10.3%
C	14720	1.6%
p	14529	1.6%
/	10938	1.2%
	8402	0.9%
Other values (23)	34214	3.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	772694	84.2%
Uppercase Letter	126036	13.7%
Other Punctuation	10938	1.2%
Space Separator	8402	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	222017	28.7%
d	197332	25.5%
r	117474	15.2%
a	109282	14.1%
w	94581	12.2%
p	14529	1.9%
l	8386	1.1%
e	4121	0.5%
t	4002	0.5%
n	197	< 0.1%
Other values (10)	773	0.1%

Uppercase Letter

Value	Count	Frequency (%)
H	94581	75.0%
C	14720	11.7%
W	8170	6.5%
F	8170	6.5%
L	141	0.1%
D	110	0.1%
T	56	< 0.1%
V	41	< 0.1%
P	19	< 0.1%
R	15	< 0.1%

Space Separator

Value	Count	Frequency (%)
	8402	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	10938	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	898730	97.9%
Common	19340	2.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	222017	24.7%
d	197332	22.0%
r	117474	13.1%
a	109282	12.2%
H	94581	10.5%
w	94581	10.5%
C	14720	1.6%
p	14529	1.6%
l	8386	0.9%
W	8170	0.9%
Other values (21)	17658	2.0%

Common

Value	Count	Frequency (%)
/	10938	56.6%
	8402	43.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	918070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	222017	24.2%
d	197332	21.5%
r	117474	12.8%
a	109282	11.9%
H	94581	10.3%
w	94581	10.3%
C	14720	1.6%
p	14529	1.6%
/	10938	1.2%
	8402	0.9%
Other values (23)	34214	3.7%

KITCHENS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	52262
Missing (%)	32.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.219251136

Minimum	0
Maximum	44
Zeros	117
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	44
Range	44
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6211695991
Coefficient of variation (CV)	0.5094681321
Kurtosis	220.6893857
Mean	1.219251136
Median Absolute Deviation (MAD)	0
Skewness	6.102645696
Sum	130088
Variance	0.3858516708
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	90434	56.9%
2	11904	7.5%
4	3051	1.9%
3	1173	0.7%
0	117	0.1%
5	11	< 0.1%
6	4	< 0.1%
44	1	< 0.1%
(Missing)	52262	32.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	117	0.1%
1	90434	56.9%
2	11904	7.5%
3	1173	0.7%
4	3051	1.9%
5	11	< 0.1%
6	4	< 0.1%
44	1	< 0.1%

Value	Count	Frequency (%)
44	1	< 0.1%
6	4	< 0.1%
5	11	< 0.1%
4	3051	1.9%
3	1173	0.7%
2	11904	7.5%
1	90434	56.9%
0	117	0.1%

FIREPLACES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.374673654

Minimum	0
Maximum	293920
Zeros	103837
Zeros (%)	65.3%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	293920
Range	293920
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	737.2955949
Coefficient of variation (CV)	310.4829136
Kurtosis	158879.2742
Mean	2.374673654
Median Absolute Deviation (MAD)	0
Skewness	398.5490354
Sum	377471
Variance	543604.7943
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	103837	65.3%
1	40567	25.5%
2	10779	6.8%
3	2410	1.5%
4	841	0.5%
5	277	0.2%
6	148	0.1%
7	47	< 0.1%
8	18	< 0.1%
9	10	< 0.1%
Other values (10)	23	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	103837	65.3%
1	40567	25.5%
2	10779	6.8%
3	2410	1.5%
4	841	0.5%
5	277	0.2%
6	148	0.1%
7	47	< 0.1%
8	18	< 0.1%
9	10	< 0.1%

Value	Count	Frequency (%)
293920	1	< 0.1%
4068	1	< 0.1%
1601	1	< 0.1%
1017	1	< 0.1%
922	1	< 0.1%
200	1	< 0.1%
13	3	< 0.1%
12	3	< 0.1%
11	3	< 0.1%
10	8	< 0.1%

USECODE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.25299924

Minimum	11
Maximum	117
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	11
5-th percentile	11
Q1	11
median	13
Q3	17
95-th percentile	24
Maximum	117
Range	106
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.725735883
Coefficient of variation (CV)	0.261400132
Kurtosis	37.24269694
Mean	14.25299924
Median Absolute Deviation (MAD)	2
Skewness	2.556818989
Sum	2265614
Variance	13.88110787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
11	45597	28.7%
12	31623	19.9%
17	27511	17.3%
16	24741	15.6%
13	16588	10.4%
24	8272	5.2%
23	4497	2.8%
15	79	< 0.1%
19	31	< 0.1%
117	8	< 0.1%
Other values (6)	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11	45597	28.7%
12	31623	19.9%
13	16588	10.4%
15	79	< 0.1%
16	24741	15.6%
17	27511	17.3%
19	31	< 0.1%
23	4497	2.8%
24	8272	5.2%
29	1	< 0.1%

Value	Count	Frequency (%)
117	8	< 0.1%
116	1	< 0.1%
83	2	< 0.1%
81	4	< 0.1%
41	1	< 0.1%
39	1	< 0.1%
29	1	< 0.1%
24	8272	5.2%
23	4497	2.8%
19	31	< 0.1%

LANDAREA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	11359
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2473.282158

Minimum	0
Maximum	942632
Zeros	72
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	137
Q1	697
median	1649
Q3	3000
95-th percentile	7475
Maximum	942632
Range	942632
Interquartile range (IQR)	2303

Descriptive statistics

Standard deviation	5059.046023
Coefficient of variation (CV)	2.04547872
Kurtosis	11264.01477
Mean	2473.282158
Median Absolute Deviation (MAD)	1092
Skewness	78.59012056
Sum	393145512
Variance	25593946.66
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	1071	0.7%
2000	1020	0.6%
4000	848	0.5%
5000	833	0.5%
1600	792	0.5%
2500	601	0.4%
1700	562	0.4%
1440	552	0.3%
1500	530	0.3%
3000	511	0.3%
Other values (11349)	151637	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	72	< 0.1%
1	2	< 0.1%
2	2	< 0.1%
3	2	< 0.1%
4	12	< 0.1%
5	15	< 0.1%
6	31	< 0.1%
7	63	< 0.1%
8	44	< 0.1%
9	112	0.1%

Value	Count	Frequency (%)
942632	1	< 0.1%
691817	1	< 0.1%
498734	1	< 0.1%
451804	1	< 0.1%
339658	1	< 0.1%
338435	2	< 0.1%
329174	1	< 0.1%
240377	1	< 0.1%
227446	1	< 0.1%
226479	1	< 0.1%

GIS_LAST_MOD_DTTM
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

2018-07-22 18:01:43	106696
2018-07-22 18:01:38	52261

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	3020183
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018-07-22 18:01:43
2nd row	2018-07-22 18:01:43
3rd row	2018-07-22 18:01:43
4th row	2018-07-22 18:01:43
5th row	2018-07-22 18:01:43

Common Values

Value	Count	Frequency (%)
2018-07-22 18:01:43	106696	67.1%
2018-07-22 18:01:38	52261	32.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2018-07-22	158957	50.0%
18:01:43	106696	33.6%
18:01:38	52261	16.4%

Most occurring characters

Value	Count	Frequency (%)
2	476871	15.8%
0	476871	15.8%
1	476871	15.8%
8	370175	12.3%
-	317914	10.5%
:	317914	10.5%
7	158957	5.3%
	158957	5.3%
3	158957	5.3%
4	106696	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2225398	73.7%
Dash Punctuation	317914	10.5%
Other Punctuation	317914	10.5%
Space Separator	158957	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	476871	21.4%
0	476871	21.4%
1	476871	21.4%
8	370175	16.6%
7	158957	7.1%
3	158957	7.1%
4	106696	4.8%

Dash Punctuation

Value	Count	Frequency (%)
-	317914	100.0%

Space Separator

Value	Count	Frequency (%)
	158957	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	317914	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3020183	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	476871	15.8%
0	476871	15.8%
1	476871	15.8%
8	370175	12.3%
-	317914	10.5%
:	317914	10.5%
7	158957	5.3%
	158957	5.3%
3	158957	5.3%
4	106696	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3020183	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	476871	15.8%
0	476871	15.8%
1	476871	15.8%
8	370175	12.3%
-	317914	10.5%
:	317914	10.5%
7	158957	5.3%
	158957	5.3%
3	158957	5.3%
4	106696	3.5%

SOURCE
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Residential	106696
Condominium	52261

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1748527
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Residential
2nd row	Residential
3rd row	Residential
4th row	Residential
5th row	Residential

Common Values

Value	Count	Frequency (%)
Residential	106696	67.1%
Condominium	52261	32.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
residential	106696	67.1%
condominium	52261	32.9%

Most occurring characters

Value	Count	Frequency (%)
i	317914	18.2%
e	213392	12.2%
n	211218	12.1%
d	158957	9.1%
R	106696	6.1%
s	106696	6.1%
t	106696	6.1%
a	106696	6.1%
l	106696	6.1%
o	104522	6.0%
Other values (3)	209044	12.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1589570	90.9%
Uppercase Letter	158957	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	317914	20.0%
e	213392	13.4%
n	211218	13.3%
d	158957	10.0%
s	106696	6.7%
t	106696	6.7%
a	106696	6.7%
l	106696	6.7%
o	104522	6.6%
m	104522	6.6%

Uppercase Letter

Value	Count	Frequency (%)
R	106696	67.1%
C	52261	32.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1748527	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	317914	18.2%
e	213392	12.2%
n	211218	12.1%
d	158957	9.1%
R	106696	6.1%
s	106696	6.1%
t	106696	6.1%
a	106696	6.1%
l	106696	6.1%
o	104522	6.0%
Other values (3)	209044	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1748527	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	317914	18.2%
e	213392	12.2%
n	211218	12.1%
d	158957	9.1%
R	106696	6.1%
s	106696	6.1%
t	106696	6.1%
a	106696	6.1%
l	106696	6.1%
o	104522	6.0%
Other values (3)	209044	12.0%

CMPLX_NUM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2913
Distinct (%)	5.6%
Missing	106696
Missing (%)	67.1%
Infinite	0
Infinite (%)	0.0%
Mean	2371.544249

Minimum	1001
Maximum	5621
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1001
5-th percentile	1066
Q1	1501
median	2265
Q3	2910
95-th percentile	5176
Maximum	5621
Range	4620
Interquartile range (IQR)	1409

Descriptive statistics

Standard deviation	1114.272364
Coefficient of variation (CV)	0.469850969
Kurtosis	1.140354537
Mean	2371.544249
Median Absolute Deviation (MAD)	709
Skewness	1.141672933
Sum	123939274
Variance	1241602.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1066	720	0.5%
2423	615	0.4%
1080	429	0.3%
2282	423	0.3%
2838	396	0.2%
1657	360	0.2%
2279	324	0.2%
2661	302	0.2%
2898	292	0.2%
2430	291	0.2%
Other values (2903)	48109	30.3%
(Missing)	106696	67.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1001	36	< 0.1%
1002	157	0.1%
1003	16	< 0.1%
1004	21	< 0.1%
1005	3	< 0.1%
1006	4	< 0.1%
1007	8	< 0.1%
1008	36	< 0.1%
1009	101	0.1%
1010	97	0.1%

Value	Count	Frequency (%)
5621	2	< 0.1%
5620	4	< 0.1%
5619	11	< 0.1%
5617	4	< 0.1%
5616	71	< 0.1%
5615	5	< 0.1%
5614	2	< 0.1%
5612	2	< 0.1%
5611	10	< 0.1%
5610	10	< 0.1%

LIVING_GBA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2216
Distinct (%)	4.2%
Missing	106696
Missing (%)	67.1%
Infinite	0
Infinite (%)	0.0%
Mean	888.834542

Minimum	0
Maximum	8553
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	440
Q1	616
median	783
Q3	1060
95-th percentile	1662
Maximum	8553
Range	8553
Interquartile range (IQR)	444

Descriptive statistics

Standard deviation	420.1858218
Coefficient of variation (CV)	0.4727379528
Kurtosis	15.69514905
Mean	888.834542
Median Absolute Deviation (MAD)	206
Skewness	2.556377435
Sum	46451382
Variance	176556.1248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
888	205	0.1%
740	185	0.1%
1210	179	0.1%
670	175	0.1%
1332	168	0.1%
810	148	0.1%
575	145	0.1%
504	144	0.1%
625	143	0.1%
749	137	0.1%
Other values (2206)	50632	31.9%
(Missing)	106696	67.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
104	1	< 0.1%
148	1	< 0.1%
199	1	< 0.1%
209	1	< 0.1%
217	1	< 0.1%
231	1	< 0.1%
232	1	< 0.1%
237	1	< 0.1%
238	3	< 0.1%

Value	Count	Frequency (%)
8553	1	< 0.1%
7164	1	< 0.1%
6145	1	< 0.1%
6116	1	< 0.1%
6034	1	< 0.1%
6019	1	< 0.1%
5991	1	< 0.1%
5930	1	< 0.1%
5857	1	< 0.1%
5664	1	< 0.1%

FULLADDRESS
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	105978
Distinct (%)	99.9%
Missing	52917
Missing (%)	33.3%
Memory size	1.2 MiB

1754 STANTON TERRACE SE	5
1755 STANTON TERRACE SE	5
1517 SHIPPEN LANE SE	4
1508 SHIPPEN LANE SE	4
1530 34TH STREET NW	3
Other values (105973)	106019

Length

Max length	41
Median length	20
Mean length	20.21610713
Min length	13

Characters and Unicode

Total characters	2143716
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	105930 ?
Unique (%)	99.9%

Sample

1st row	1748 SWANN STREET NW
2nd row	1746 SWANN STREET NW
3rd row	1744 SWANN STREET NW
4th row	1742 SWANN STREET NW
5th row	1804 NEW HAMPSHIRE AVENUE NW

Common Values

Value	Count	Frequency (%)
1754 STANTON TERRACE SE	5	< 0.1%
1755 STANTON TERRACE SE	5	< 0.1%
1517 SHIPPEN LANE SE	4	< 0.1%
1508 SHIPPEN LANE SE	4	< 0.1%
1530 34TH STREET NW	3	< 0.1%
1507 TOBIAS DRIVE SE	3	< 0.1%
312 MILLERS COURT NE	3	< 0.1%
2600 TILDEN STREET NW	3	< 0.1%
435 1ST STREET SE	2	< 0.1%
3121 O STREET NW	2	< 0.1%
Other values (105968)	106006	66.7%
(Missing)	52917	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
street	70604	16.3%
nw	50373	11.7%
ne	32528	7.5%
se	21799	5.0%
place	14390	3.3%
avenue	10741	2.5%
road	4670	1.1%
terrace	1673	0.4%
13th	1451	0.3%
sw	1340	0.3%
Other values (7137)	222313	51.5%

Most occurring characters

Value	Count	Frequency (%)
	325842	15.2%
E	285614	13.3%
T	198655	9.3%
N	142771	6.7%
R	124381	5.8%
S	123510	5.8%
1	88938	4.1%
A	84258	3.9%
W	60982	2.8%
2	60729	2.8%
Other values (29)	648036	30.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1375524	64.2%
Decimal Number	441577	20.6%
Space Separator	325842	15.2%
Other Punctuation	773	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	285614	20.8%
T	198655	14.4%
N	142771	10.4%
R	124381	9.0%
S	123510	9.0%
A	84258	6.1%
W	60982	4.4%
L	43615	3.2%
O	43077	3.1%
H	41873	3.0%
Other values (16)	226788	16.5%

Decimal Number

Value	Count	Frequency (%)
1	88938	20.1%
2	60729	13.8%
3	59379	13.4%
4	50250	11.4%
0	44482	10.1%
5	39345	8.9%
6	29646	6.7%
7	25592	5.8%
8	22639	5.1%
9	20577	4.7%

Other Punctuation

Value	Count	Frequency (%)
/	562	72.7%
'	211	27.3%

Space Separator

Value	Count	Frequency (%)
	325842	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1375524	64.2%
Common	768192	35.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	285614	20.8%
T	198655	14.4%
N	142771	10.4%
R	124381	9.0%
S	123510	9.0%
A	84258	6.1%
W	60982	4.4%
L	43615	3.2%
O	43077	3.1%
H	41873	3.0%
Other values (16)	226788	16.5%

Common

Value	Count	Frequency (%)
	325842	42.4%
1	88938	11.6%
2	60729	7.9%
3	59379	7.7%
4	50250	6.5%
0	44482	5.8%
5	39345	5.1%
6	29646	3.9%
7	25592	3.3%
8	22639	2.9%
Other values (3)	21350	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2143716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	325842	15.2%
E	285614	13.3%
T	198655	9.3%
N	142771	6.7%
R	124381	5.8%
S	123510	5.8%
1	88938	4.1%
A	84258	3.9%
W	60982	2.8%
2	60729	2.8%
Other values (29)	648036	30.2%

CITY
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	52906
Missing (%)	33.3%
Memory size	1.2 MiB

WASHINGTON	106051

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1060510
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WASHINGTON
2nd row	WASHINGTON
3rd row	WASHINGTON
4th row	WASHINGTON
5th row	WASHINGTON

Common Values

Value	Count	Frequency (%)
WASHINGTON	106051	66.7%
(Missing)	52906	33.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
washington	106051	100.0%

Most occurring characters

Value	Count	Frequency (%)
N	212102	20.0%
W	106051	10.0%
A	106051	10.0%
S	106051	10.0%
H	106051	10.0%
I	106051	10.0%
G	106051	10.0%
T	106051	10.0%
O	106051	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1060510	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	212102	20.0%
W	106051	10.0%
A	106051	10.0%
S	106051	10.0%
H	106051	10.0%
I	106051	10.0%
G	106051	10.0%
T	106051	10.0%
O	106051	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1060510	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	212102	20.0%
W	106051	10.0%
A	106051	10.0%
S	106051	10.0%
H	106051	10.0%
I	106051	10.0%
G	106051	10.0%
T	106051	10.0%
O	106051	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1060510	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	212102	20.0%
W	106051	10.0%
A	106051	10.0%
S	106051	10.0%
H	106051	10.0%
I	106051	10.0%
G	106051	10.0%
T	106051	10.0%
O	106051	10.0%

STATE
Categorical

CONSTANT
HIGH CORRELATION
MISSING
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	52906
Missing (%)	33.3%
Memory size	1.2 MiB

DC	106051

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	212102
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DC
2nd row	DC
3rd row	DC
4th row	DC
5th row	DC

Common Values

Value	Count	Frequency (%)
DC	106051	66.7%
(Missing)	52906	33.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
dc	106051	100.0%

Most occurring characters

Value	Count	Frequency (%)
D	106051	50.0%
C	106051	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	212102	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
D	106051	50.0%
C	106051	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	212102	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	106051	50.0%
C	106051	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212102	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	106051	50.0%
C	106051	50.0%

ZIPCODE
Real number (ℝ_≥0)

Distinct	24
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	20012.69456

Minimum	20001
Maximum	20392
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	20001
5-th percentile	20001
Q1	20007
median	20011
Q3	20018
95-th percentile	20032
Maximum	20392
Range	391
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	15.62708441
Coefficient of variation (CV)	0.0007808585878
Kurtosis	403.503694
Mean	20012.69456
Median Absolute Deviation (MAD)	6
Skewness	16.86329334
Sum	3181137877
Variance	244.2057673
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
20011	16352	10.3%
20002	16310	10.3%
20009	13171	8.3%
20019	12458	7.8%
20016	10644	6.7%
20001	10549	6.6%
20020	9805	6.2%
20007	9029	5.7%
20003	8015	5.0%
20008	6801	4.3%
Other values (14)	45822	28.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20001	10549	6.6%
20002	16310	10.3%
20003	8015	5.0%
20004	1082	0.7%
20005	3404	2.1%
20006	118	0.1%
20007	9029	5.7%
20008	6801	4.3%
20009	13171	8.3%
20010	6428	4.0%

Value	Count	Frequency (%)
20392	186	0.1%
20052	19	< 0.1%
20037	3730	2.3%
20036	1892	1.2%
20032	5111	3.2%
20024	3105	2.0%
20020	9805	6.2%
20019	12458	7.8%
20018	5670	3.6%
20017	5622	3.5%

NATIONALGRID
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	105949
Distinct (%)	99.9%
Missing	52906
Missing (%)	33.3%
Memory size	1.2 MiB

18S UJ 28168 01936	5
18S UJ 28233 01950	5
18S UJ 28025 01949	4
18S UJ 28045 01888	4
18S UJ 25398 04622	4
Other values (105944)	106029

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	1908918
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	105863 ?
Unique (%)	99.8%

Sample

1st row	18S UJ 23061 09289
2nd row	18S UJ 23067 09289
3rd row	18S UJ 23074 09289
4th row	18S UJ 23078 09288
5th row	18S UJ 23188 09253

Common Values

Value	Count	Frequency (%)
18S UJ 28168 01936	5	< 0.1%
18S UJ 28233 01950	5	< 0.1%
18S UJ 28025 01949	4	< 0.1%
18S UJ 28045 01888	4	< 0.1%
18S UJ 25398 04622	4	< 0.1%
18S UJ 26425 06527	3	< 0.1%
18S UJ 28027 01972	3	< 0.1%
18S UJ 21962 12164	3	< 0.1%
18S UJ 20689 08775	3	< 0.1%
18S UJ 29362 04313	2	< 0.1%
Other values (105939)	106015	66.7%
(Missing)	52906	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
18s	106051	25.0%
uj	104654	24.7%
uh	1397	0.3%
13982	42	< 0.1%
09873	37	< 0.1%
24647	37	< 0.1%
26535	37	< 0.1%
24964	36	< 0.1%
27261	36	< 0.1%
07090	35	< 0.1%
Other values (32714)	211842	49.9%

Most occurring characters

Value	Count	Frequency (%)
	318153	16.7%
1	247619	13.0%
8	191493	10.0%
2	163655	8.6%
0	140659	7.4%
S	106051	5.6%
U	106051	5.6%
J	104654	5.5%
3	97866	5.1%
7	89267	4.7%
Other values (5)	343450	18.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1272612	66.7%
Uppercase Letter	318153	16.7%
Space Separator	318153	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	247619	19.5%
8	191493	15.0%
2	163655	12.9%
0	140659	11.1%
3	97866	7.7%
7	89267	7.0%
4	87068	6.8%
6	86294	6.8%
9	84497	6.6%
5	84194	6.6%

Uppercase Letter

Value	Count	Frequency (%)
S	106051	33.3%
U	106051	33.3%
J	104654	32.9%
H	1397	0.4%

Space Separator

Value	Count	Frequency (%)
	318153	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1590765	83.3%
Latin	318153	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
	318153	20.0%
1	247619	15.6%
8	191493	12.0%
2	163655	10.3%
0	140659	8.8%
3	97866	6.2%
7	89267	5.6%
4	87068	5.5%
6	86294	5.4%
9	84497	5.3%

Latin

Value	Count	Frequency (%)
S	106051	33.3%
U	106051	33.3%
J	104654	32.9%
H	1397	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1908918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	318153	16.7%
1	247619	13.0%
8	191493	10.0%
2	163655	8.6%
0	140659	7.4%
S	106051	5.6%
U	106051	5.6%
J	104654	5.5%
3	97866	5.1%
7	89267	4.7%
Other values (5)	343450	18.0%

LATITUDE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	105522
Distinct (%)	66.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	38.91485395

Minimum	38.81973129
Maximum	38.99553969
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	38.81973129
5-th percentile	38.85933517
Q1	38.89542487
median	38.91533652
Q3	38.93607485
95-th percentile	38.96507244
Maximum	38.99553969
Range	0.1758084
Interquartile range (IQR)	0.04064998

Descriptive statistics

Standard deviation	0.03172261554
Coefficient of variation (CV)	0.0008151801258
Kurtosis	0.0225011778
Mean	38.91485395
Median Absolute Deviation (MAD)	0.02030494
Skewness	-0.2981973416
Sum	6185749.525
Variance	0.001006324337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38.93466835	1128	0.7%
38.88082098	1022	0.6%
38.9094433	592	0.4%
38.8747892	524	0.3%
38.90314058	504	0.3%
38.94449932	429	0.3%
38.89542487	428	0.3%
38.86303776	410	0.3%
38.90445577	406	0.3%
38.92806083	367	0.2%
Other values (105512)	153146	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
38.81973129	1	< 0.1%
38.81978931	1	< 0.1%
38.81988895	1	< 0.1%
38.819943	1	< 0.1%
38.81995335	1	< 0.1%
38.82001938	1	< 0.1%
38.82006029	1	< 0.1%
38.82011381	1	< 0.1%
38.82014001	1	< 0.1%
38.82020559	1	< 0.1%

Value	Count	Frequency (%)
38.99553969	1	< 0.1%
38.9954352	1	< 0.1%
38.99530086	1	< 0.1%
38.99516273	1	< 0.1%
38.99503065	1	< 0.1%
38.99497139	1	< 0.1%
38.99489423	1	< 0.1%
38.99484815	1	< 0.1%
38.99479729	1	< 0.1%
38.99475116	1	< 0.1%

LONGITUDE
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	105935
Distinct (%)	66.6%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	-77.01667632

Minimum	-77.11390873
Maximum	-76.90975796
Zeros	0
Zeros (%)	0.0%
Negative	158956
Negative (%)	> 99.9%
Memory size	1.2 MiB

Quantile statistics

Minimum	-77.11390873
5-th percentile	-77.08320993
Q1	-77.0428921
median	-77.01959633
Q3	-76.98862646
95-th percentile	-76.94106208
Maximum	-76.90975796
Range	0.20415077
Interquartile range (IQR)	0.0542656425

Descriptive statistics

Standard deviation	0.04093841016
Coefficient of variation (CV)	-0.0005315525431
Kurtosis	-0.3879446439
Mean	-77.01667632
Median Absolute Deviation (MAD)	0.028281505
Skewness	0.1670056934
Sum	-12242262.8
Variance	0.001675953426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-77.08468826	1128	0.7%
-77.01427073	1022	0.6%
-77.03969267	592	0.4%
-77.01630113	524	0.3%
-77.01777614	504	0.3%
-77.06124775	429	0.3%
-77.02156757	428	0.3%
-76.94956535	410	0.3%
-77.03105732	406	0.3%
-77.0792663	367	0.2%
Other values (105925)	153146	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-77.11390873	1	< 0.1%
-77.1138097	1	< 0.1%
-77.11377421	1	< 0.1%
-77.1136275	1	< 0.1%
-77.11356932	1	< 0.1%
-77.113389	1	< 0.1%
-77.11332066	1	< 0.1%
-77.1132754	1	< 0.1%
-77.11327046	1	< 0.1%
-77.11318887	1	< 0.1%

Value	Count	Frequency (%)
-76.90975796	1	< 0.1%
-76.9097583	1	< 0.1%
-76.90984266	1	< 0.1%
-76.90984731	1	< 0.1%
-76.90988281	1	< 0.1%
-76.90989558	1	< 0.1%
-76.9099699	1	< 0.1%
-76.90998346	1	< 0.1%
-76.91001813	1	< 0.1%
-76.91002365	1	< 0.1%

ASSESSMENT_NBHD
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	57
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	1.2 MiB

Old City 2	15978
Old City 1	15000
Columbia Heights	9474
Brookland	6568
Petworth	6323
Other values (52)	105613

Length

Max length	28
Median length	10
Mean length	11.51869071
Min length	4

Characters and Unicode

Total characters	1830965
Distinct characters	50
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Old City 2
2nd row	Old City 2
3rd row	Old City 2
4th row	Old City 2
5th row	Old City 2

Common Values

Value	Count	Frequency (%)
Old City 2	15978	10.1%
Old City 1	15000	9.4%
Columbia Heights	9474	6.0%
Brookland	6568	4.1%
Petworth	6323	4.0%
Deanwood	5983	3.8%
Chevy Chase	5354	3.4%
Congress Heights	4729	3.0%
Brightwood	4112	2.6%
Mt. Pleasant	4052	2.5%
Other values (47)	81383	51.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
city	30978	10.2%
old	30978	10.2%
heights	24847	8.2%
1	18132	6.0%
2	15978	5.3%
park	15730	5.2%
columbia	9474	3.1%
brookland	6568	2.2%
petworth	6323	2.1%
deanwood	5983	2.0%
Other values (67)	137659	45.5%

Most occurring characters

Value	Count	Frequency (%)
t	149450	8.2%
	143694	7.8%
e	129510	7.1%
i	127197	6.9%
l	118398	6.5%
o	113961	6.2%
a	106761	5.8%
r	104884	5.7%
d	75993	4.2%
s	73438	4.0%
Other values (40)	687679	37.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1372729	75.0%
Uppercase Letter	263832	14.4%
Space Separator	143694	7.8%
Decimal Number	41026	2.2%
Dash Punctuation	5632	0.3%
Other Punctuation	4052	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	149450	10.9%
e	129510	9.4%
i	127197	9.3%
l	118398	8.6%
o	113961	8.3%
a	106761	7.8%
r	104884	7.6%
d	75993	5.5%
s	73438	5.3%
n	67782	4.9%
Other values (13)	305355	22.2%

Uppercase Letter

Value	Count	Frequency (%)
C	73052	27.7%
H	34945	13.2%
O	32431	12.3%
P	28807	10.9%
B	15411	5.8%
D	9408	3.6%
F	9406	3.6%
W	8626	3.3%
G	7067	2.7%
S	6952	2.6%
Other values (10)	37727	14.3%

Decimal Number

Value	Count	Frequency (%)
1	20340	49.6%
2	15978	38.9%
3	2500	6.1%
6	2208	5.4%

Space Separator

Value	Count	Frequency (%)
	143694	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5632	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4052	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1636561	89.4%
Common	194404	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	149450	9.1%
e	129510	7.9%
i	127197	7.8%
l	118398	7.2%
o	113961	7.0%
a	106761	6.5%
r	104884	6.4%
d	75993	4.6%
s	73438	4.5%
C	73052	4.5%
Other values (33)	563917	34.5%

Common

Value	Count	Frequency (%)
	143694	73.9%
1	20340	10.5%
2	15978	8.2%
-	5632	2.9%
.	4052	2.1%
3	2500	1.3%
6	2208	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1830965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	149450	8.2%
	143694	7.8%
e	129510	7.1%
i	127197	6.9%
l	118398	6.5%
o	113961	6.2%
a	106761	5.8%
r	104884	5.7%
d	75993	4.2%
s	73438	4.0%
Other values (40)	687679	37.6%

ASSESSMENT_SUBNBHD
Categorical

HIGH CARDINALITY
MISSING

Distinct	121
Distinct (%)	0.1%
Missing	32551
Missing (%)	20.5%
Memory size	1.2 MiB

040 D Old City 2	4403
040 E Old City 2	2968
040 C Old City 2	2886
042 B Petworth	2763
039 K Old City 1	2640
Other values (116)	110746

Length

Max length	25
Median length	16
Mean length	17.13591127
Min length	10

Characters and Unicode

Total characters	2166082
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	040 D Old City 2
2nd row	040 D Old City 2
3rd row	040 D Old City 2
4th row	040 D Old City 2
5th row	040 D Old City 2

Common Values

Value	Count	Frequency (%)
040 D Old City 2	4403	2.8%
040 E Old City 2	2968	1.9%
040 C Old City 2	2886	1.8%
042 B Petworth	2763	1.7%
039 K Old City 1	2640	1.7%
007 E Brookland	2388	1.5%
040 B Old City 2	2289	1.4%
015 D Columbia Heights	2246	1.4%
015 A Columbia Heights	2206	1.4%
015 E Columbia Heights	2183	1.4%
Other values (111)	99434	62.6%
(Missing)	32551	20.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b	32080	6.5%
city	30978	6.3%
old	30978	6.3%
a	29585	6.0%
c	25558	5.2%
heights	23663	4.8%
040	15978	3.2%
2	15978	3.2%
1	15000	3.0%
039	15000	3.0%
Other values (79)	259231	52.5%

Most occurring characters

Value	Count	Frequency (%)
	367623	17.0%
0	165735	7.7%
t	115579	5.3%
i	106591	4.9%
e	94632	4.4%
o	90288	4.2%
l	88407	4.1%
C	85277	3.9%
a	73869	3.4%
d	68048	3.1%
Other values (44)	910033	42.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1045358	48.3%
Decimal Number	414612	19.1%
Space Separator	367623	17.0%
Uppercase Letter	334437	15.4%
Other Punctuation	4052	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	85277	25.5%
B	45279	13.5%
A	34103	10.2%
H	32931	9.8%
O	30978	9.3%
D	22102	6.6%
P	18322	5.5%
E	13494	4.0%
F	7174	2.1%
M	6780	2.0%
Other values (11)	37997	11.4%

Lowercase Letter

Value	Count	Frequency (%)
t	115579	11.1%
i	106591	10.2%
e	94632	9.1%
o	90288	8.6%
l	88407	8.5%
a	73869	7.1%
d	68048	6.5%
r	61254	5.9%
s	58370	5.6%
n	51075	4.9%
Other values (11)	237245	22.7%

Decimal Number

Value	Count	Frequency (%)
0	165735	40.0%
1	55999	13.5%
2	46301	11.2%
4	31938	7.7%
3	30310	7.3%
9	26573	6.4%
5	22808	5.5%
6	17849	4.3%
8	10518	2.5%
7	6581	1.6%

Space Separator

Value	Count	Frequency (%)
	367623	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4052	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1379795	63.7%
Common	786287	36.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	115579	8.4%
i	106591	7.7%
e	94632	6.9%
o	90288	6.5%
l	88407	6.4%
C	85277	6.2%
a	73869	5.4%
d	68048	4.9%
r	61254	4.4%
s	58370	4.2%
Other values (32)	537480	39.0%

Common

Value	Count	Frequency (%)
	367623	46.8%
0	165735	21.1%
1	55999	7.1%
2	46301	5.9%
4	31938	4.1%
3	30310	3.9%
9	26573	3.4%
5	22808	2.9%
6	17849	2.3%
8	10518	1.3%
Other values (2)	10633	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2166082	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	367623	17.0%
0	165735	7.7%
t	115579	5.3%
i	106591	4.9%
e	94632	4.4%
o	90288	4.2%
l	88407	4.1%
C	85277	3.9%
a	73869	3.4%
d	68048	3.1%
Other values (44)	910033	42.0%

CENSUS_TRACT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	176
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	5348.216324

Minimum	100
Maximum	11100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	100
5-th percentile	502
Q1	2102
median	5201
Q3	8302
95-th percentile	10200
Maximum	11100
Range	11000
Interquartile range (IQR)	6200

Descriptive statistics

Standard deviation	3369.645953
Coefficient of variation (CV)	0.6300504222
Kurtosis	-1.425048885
Mean	5348.216324
Median Absolute Deviation (MAD)	3100
Skewness	0.007889343771
Sum	850131074
Variance	11354513.85
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5500	2933	1.8%
801	2620	1.6%
1001	2552	1.6%
300	2182	1.4%
5301	2179	1.4%
100	2090	1.3%
1500	2081	1.3%
4400	1960	1.2%
1100	1879	1.2%
5201	1766	1.1%
Other values (166)	136714	86.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
100	2090	1.3%
202	1684	1.1%
300	2182	1.4%
400	605	0.4%
501	519	0.3%
502	1023	0.6%
600	1291	0.8%
701	1290	0.8%
702	696	0.4%
801	2620	1.6%

Value	Count	Frequency (%)
11100	1501	0.9%
11000	911	0.6%
10900	160	0.1%
10800	386	0.2%
10700	392	0.2%
10600	1317	0.8%
10500	1022	0.6%
10400	945	0.6%
10300	773	0.5%
10200	895	0.6%

CENSUS_BLOCK
Categorical

HIGH CARDINALITY
MISSING

Distinct	3848
Distinct (%)	3.6%
Missing	52906
Missing (%)	33.3%
Memory size	1.2 MiB

009000 1001	340
009201 1004	312
009509 3004	206
009904 2009	204
009508 2005	195
Other values (3843)	104794

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1166561
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65 ?
Unique (%)	0.1%

Sample

1st row	004201 2006
2nd row	004201 2006
3rd row	004201 2006
4th row	004201 2006
5th row	004201 2006

Common Values

Value	Count	Frequency (%)
009000 1001	340	0.2%
009201 1004	312	0.2%
009509 3004	206	0.1%
009904 2009	204	0.1%
009508 2005	195	0.1%
009000 1010	189	0.1%
007809 1001	175	0.1%
000300 3003	170	0.1%
009700 1012	160	0.1%
000801 2008	158	0.1%
Other values (3838)	103942	65.4%
(Missing)	52906	33.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1001	3969	1.9%
1004	3712	1.8%
1002	3594	1.7%
2000	3378	1.6%
1003	3290	1.6%
2005	3139	1.5%
2002	3101	1.5%
1006	3030	1.4%
1005	2991	1.4%
2001	2960	1.4%
Other values (369)	178938	84.4%

Most occurring characters

Value	Count	Frequency (%)
0	565517	48.5%
1	135208	11.6%
	106051	9.1%
2	97511	8.4%
3	52275	4.5%
9	43096	3.7%
4	41593	3.6%
7	35999	3.1%
8	32817	2.8%
5	28786	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1060510	90.9%
Space Separator	106051	9.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	565517	53.3%
1	135208	12.7%
2	97511	9.2%
3	52275	4.9%
9	43096	4.1%
4	41593	3.9%
7	35999	3.4%
8	32817	3.1%
5	28786	2.7%
6	27708	2.6%

Space Separator

Value	Count	Frequency (%)
	106051	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1166561	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	565517	48.5%
1	135208	11.6%
	106051	9.1%
2	97511	8.4%
3	52275	4.5%
9	43096	3.7%
4	41593	3.6%
7	35999	3.1%
8	32817	2.8%
5	28786	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1166561	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	565517	48.5%
1	135208	11.6%
	106051	9.1%
2	97511	8.4%
3	52275	4.5%
9	43096	3.7%
4	41593	3.6%
7	35999	3.1%
8	32817	2.8%
5	28786	2.5%

WARD
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	1.2 MiB

Ward 6	23973
Ward 3	23688
Ward 4	22202
Ward 2	22167
Ward 5	21359
Other values (3)	45567

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	953736
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ward 2
2nd row	Ward 2
3rd row	Ward 2
4th row	Ward 2
5th row	Ward 2

Common Values

Value	Count	Frequency (%)
Ward 6	23973	15.1%
Ward 3	23688	14.9%
Ward 4	22202	14.0%
Ward 2	22167	13.9%
Ward 5	21359	13.4%
Ward 1	17455	11.0%
Ward 7	17206	10.8%
Ward 8	10906	6.9%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
ward	158956	50.0%
6	23973	7.5%
3	23688	7.5%
4	22202	7.0%
2	22167	7.0%
5	21359	6.7%
1	17455	5.5%
7	17206	5.4%
8	10906	3.4%

Most occurring characters

Value	Count	Frequency (%)
W	158956	16.7%
a	158956	16.7%
r	158956	16.7%
d	158956	16.7%
	158956	16.7%
6	23973	2.5%
3	23688	2.5%
4	22202	2.3%
2	22167	2.3%
5	21359	2.2%
Other values (3)	45567	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	476868	50.0%
Uppercase Letter	158956	16.7%
Space Separator	158956	16.7%
Decimal Number	158956	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	23973	15.1%
3	23688	14.9%
4	22202	14.0%
2	22167	13.9%
5	21359	13.4%
1	17455	11.0%
7	17206	10.8%
8	10906	6.9%

Lowercase Letter

Value	Count	Frequency (%)
a	158956	33.3%
r	158956	33.3%
d	158956	33.3%

Uppercase Letter

Value	Count	Frequency (%)
W	158956	100.0%

Space Separator

Value	Count	Frequency (%)
	158956	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	635824	66.7%
Common	317912	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	158956	50.0%
6	23973	7.5%
3	23688	7.5%
4	22202	7.0%
2	22167	7.0%
5	21359	6.7%
1	17455	5.5%
7	17206	5.4%
8	10906	3.4%

Latin

Value	Count	Frequency (%)
W	158956	25.0%
a	158956	25.0%
r	158956	25.0%
d	158956	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	953736	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	158956	16.7%
a	158956	16.7%
r	158956	16.7%
d	158956	16.7%
	158956	16.7%
6	23973	2.5%
3	23688	2.5%
4	22202	2.3%
2	22167	2.3%
5	21359	2.2%
Other values (3)	45567	4.8%

SQUARE
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

X
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3291
Distinct (%)	2.1%
Missing	237
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	-77.01671188

Minimum	-77.11313486
Maximum	-76.91051093
Zeros	0
Zeros (%)	0.0%
Negative	158720
Negative (%)	99.9%
Memory size	1.2 MiB

Quantile statistics

Minimum	-77.11313486
5-th percentile	-77.08299299
Q1	-77.04289439
median	-77.01958148
Q3	-76.98884235
95-th percentile	-76.94112875
Maximum	-76.91051093
Range	0.2026239377
Interquartile range (IQR)	0.05405204484

Descriptive statistics

Standard deviation	0.04093318544
Coefficient of variation (CV)	-0.0005314844589
Kurtosis	-0.3867357071
Mean	-77.01671188
Median Absolute Deviation (MAD)	0.02825954114
Skewness	0.1677871257
Sum	-12224092.51
Variance	0.00167552567
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-77.08469058	1366	0.9%
-77.01427301	1022	0.6%
-77.0751295	721	0.5%
-77.03969497	600	0.4%
-76.95977324	559	0.4%
-77.01630341	524	0.3%
-77.01777843	504	0.3%
-77.06125007	430	0.3%
-77.02156986	428	0.3%
-76.94956761	415	0.3%
Other values (3281)	152151	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-77.11313486	24	< 0.1%
-77.11177658	19	< 0.1%
-77.11153572	25	< 0.1%
-77.11045938	32	< 0.1%
-77.11044559	17	< 0.1%
-77.10924966	40	< 0.1%
-77.10903087	19	< 0.1%
-77.10835117	40	< 0.1%
-77.10825751	52	< 0.1%
-77.1081805	58	< 0.1%

Value	Count	Frequency (%)
-76.91051093	39	< 0.1%
-76.91143455	9	< 0.1%
-76.91163527	24	< 0.1%
-76.91276833	33	< 0.1%
-76.9128207	17	< 0.1%
-76.91303377	19	< 0.1%
-76.91342738	2	< 0.1%
-76.91417499	23	< 0.1%
-76.91426893	8	< 0.1%
-76.91437363	13	< 0.1%

Y
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3291
Distinct (%)	2.1%
Missing	237
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	38.91484631

Minimum	38.82057613
Maximum	38.99364643
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	38.82057613
5-th percentile	38.85937727
Q1	38.89543232
median	38.91522932
Q3	38.93607698
95-th percentile	38.9646814
Maximum	38.99364643
Range	0.1730703058
Interquartile range (IQR)	0.04064465254

Descriptive statistics

Standard deviation	0.03168182178
Coefficient of variation (CV)	0.0008141320032
Kurtosis	0.02283935778
Mean	38.91484631
Median Absolute Deviation (MAD)	0.02021112457
Skewness	-0.3010348985
Sum	6176564.406
Variance	0.001003737831
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
38.93467581	1366	0.9%
38.88082843	1022	0.6%
38.92025156	721	0.5%
38.90945076	600	0.4%
38.92507725	559	0.4%
38.87479665	524	0.3%
38.90314803	504	0.3%
38.94450678	430	0.3%
38.89543232	428	0.3%
38.92961295	415	0.3%
Other values (3281)	152151	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
38.82057613	36	< 0.1%
38.82179948	115	0.1%
38.82189368	9	< 0.1%
38.82346224	20	< 0.1%
38.82377817	23	< 0.1%
38.82435976	61	< 0.1%
38.82459455	123	0.1%
38.82494627	40	< 0.1%
38.82554031	48	< 0.1%
38.82554343	15	< 0.1%

Value	Count	Frequency (%)
38.99364643	36	< 0.1%
38.99360337	30	< 0.1%
38.99343456	20	< 0.1%
38.99303037	14	< 0.1%
38.9917034	14	< 0.1%
38.99161793	42	< 0.1%
38.99116239	11	< 0.1%
38.99001424	51	< 0.1%
38.98977116	41	< 0.1%
38.98972573	45	< 0.1%

QUADRANT
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	237
Missing (%)	0.1%
Memory size	1.2 MiB

NW	89736
NE	37675
SE	27224
SW	4085

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	317440
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NW
2nd row	NW
3rd row	NW
4th row	NW
5th row	NW

Common Values

Value	Count	Frequency (%)
NW	89736	56.5%
NE	37675	23.7%
SE	27224	17.1%
SW	4085	2.6%
(Missing)	237	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
nw	89736	56.5%
ne	37675	23.7%
se	27224	17.2%
sw	4085	2.6%

Most occurring characters

Value	Count	Frequency (%)
N	127411	40.1%
W	93821	29.6%
E	64899	20.4%
S	31309	9.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	317440	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	127411	40.1%
W	93821	29.6%
E	64899	20.4%
S	31309	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	317440	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	127411	40.1%
W	93821	29.6%
E	64899	20.4%
S	31309	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	317440	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	127411	40.1%
W	93821	29.6%
E	64899	20.4%
S	31309	9.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Unnamed: 0	BATHRM	HF_BATHRM	HEAT	AC	NUM_UNITS	ROOMS	BEDRM	AYB	YR_RMDL	EYB	STORIES	SALEDATE	PRICE	QUALIFIED	SALE_NUM	GBA	BLDG_NUM	STYLE	STRUCT	GRADE	CNDTN	EXTWALL	ROOF	INTWALL	KITCHENS	FIREPLACES	USECODE	LANDAREA	GIS_LAST_MOD_DTTM	SOURCE	CMPLX_NUM	LIVING_GBA	FULLADDRESS	CITY	STATE	ZIPCODE	NATIONALGRID	LATITUDE	LONGITUDE	ASSESSMENT_NBHD	ASSESSMENT_SUBNBHD	CENSUS_TRACT	CENSUS_BLOCK	WARD	SQUARE	X	Y	QUADRANT
0	0	4	0	Warm Cool	Y	2.0	8	4	1910.0	1988.0	1972	3.0	2003-11-25 00:00:00	1095000.0	Q	1	2522.0	1	3 Story	Row Inside	Very Good	Good	Common Brick	Metal- Sms	Hardwood	2.0	5	24	1680	2018-07-22 18:01:43	Residential	NaN	NaN	1748 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23061 09289	38.914680	-77.040832	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
1	1	3	1	Warm Cool	Y	2.0	11	5	1898.0	2007.0	1972	3.0	2000-08-17 00:00:00	NaN	U	1	2567.0	1	3 Story	Row Inside	Very Good	Good	Common Brick	Built Up	Hardwood	2.0	4	24	1680	2018-07-22 18:01:43	Residential	NaN	NaN	1746 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23067 09289	38.914683	-77.040764	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
2	2	3	1	Hot Water Rad	Y	2.0	9	5	1910.0	2009.0	1984	3.0	2016-06-21 00:00:00	2100000.0	Q	3	2522.0	1	3 Story	Row Inside	Very Good	Very Good	Common Brick	Built Up	Hardwood	2.0	4	24	1680	2018-07-22 18:01:43	Residential	NaN	NaN	1744 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23074 09289	38.914684	-77.040678	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
3	3	3	1	Hot Water Rad	Y	2.0	8	5	1900.0	2003.0	1984	3.0	2006-07-12 00:00:00	1602000.0	Q	1	2484.0	1	3 Story	Row Inside	Very Good	Good	Common Brick	Built Up	Hardwood	2.0	3	24	1680	2018-07-22 18:01:43	Residential	NaN	NaN	1742 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23078 09288	38.914683	-77.040629	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
4	4	2	1	Warm Cool	Y	1.0	11	3	1913.0	2012.0	1985	3.0	NaN	NaN	U	1	5255.0	1	3 Story	Semi-Detached	Very Good	Good	Common Brick	Neopren	Hardwood	1.0	0	13	2032	2018-07-22 18:01:43	Residential	NaN	NaN	1804 NEW HAMPSHIRE AVENUE NW	WASHINGTON	DC	20009.0	18S UJ 23188 09253	38.914383	-77.039361	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
5	5	3	2	Hot Water Rad	Y	1.0	10	5	1913.0	NaN	1972	4.0	2010-02-26 00:00:00	1950000.0	Q	1	5344.0	1	4 Story	Row Inside	Very Good	Good	Common Brick	Built Up	Hardwood	1.0	4	11	2196	2018-07-22 18:01:43	Residential	NaN	NaN	1709 S STREET NW	WASHINGTON	DC	20009.0	18S UJ 23157 09248	38.914331	-77.039715	Old City 2	040 D Old City 2	4201.0	004201 2006	Ward 2	152	-77.040429	38.914881	NW
6	6	1	0	Warm Cool	Y	2.0	5	2	1917.0	1988.0	1957	2.0	2011-05-02 00:00:00	NaN	U	1	1260.0	1	2 Story	Row Inside	Above Average	Average	Common Brick	Metal- Sms	Hardwood	2.0	0	24	1261	2018-07-22 18:01:43	Residential	NaN	NaN	1769 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23042 09323	38.914983	-77.041055	Old City 2	040 D Old City 2	4201.0	004201 2005	Ward 2	152	-77.040429	38.914881	NW
7	7	3	1	Hot Water Rad	Y	2.0	8	4	1906.0	2011.0	1972	3.0	2011-09-29 00:00:00	1050000.0	Q	1	2401.0	1	3 Story	Row Inside	Very Good	Average	Common Brick	Metal- Sms	Hardwood	2.0	1	24	1627	2018-07-22 18:01:43	Residential	NaN	NaN	1746 1/2 T STREET NW	WASHINGTON	DC	20009.0	18S UJ 23124 09368	38.915408	-77.040129	Old City 2	040 D Old City 2	4201.0	004201 2005	Ward 2	152	-77.040429	38.914881	NW
8	8	3	1	Warm Cool	Y	2.0	7	3	1908.0	2008.0	1967	2.0	2018-05-03 00:00:00	1430000.0	Q	4	1488.0	1	2 Story	Row Inside	Above Average	Very Good	Common Brick	Built Up	Hardwood	2.0	1	24	1424	2018-07-22 18:01:43	Residential	NaN	NaN	1727 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23142 09324	38.915017	-77.039903	Old City 2	040 D Old City 2	4201.0	004201 2005	Ward 2	152	-77.040429	38.914881	NW
9	9	1	1	Hot Water Rad	Y	1.0	6	2	1908.0	1979.0	1950	2.0	2008-12-05 00:00:00	NaN	U	1	1590.0	1	2 Story	Row Inside	Good Quality	Average	Common Brick	Built Up	Hardwood	1.0	0	11	1424	2018-07-22 18:01:43	Residential	NaN	NaN	1733 SWANN STREET NW	WASHINGTON	DC	20009.0	18S UJ 23127 09324	38.915015	-77.040081	Old City 2	040 D Old City 2	4201.0	004201 2005	Ward 2	152	-77.040429	38.914881	NW

Last rows

	Unnamed: 0	BATHRM	HF_BATHRM	HEAT	AC	NUM_UNITS	ROOMS	BEDRM	AYB	YR_RMDL	EYB	STORIES	SALEDATE	PRICE	QUALIFIED	SALE_NUM	GBA	BLDG_NUM	STYLE	STRUCT	GRADE	CNDTN	EXTWALL	ROOF	INTWALL	KITCHENS	USECODE	LANDAREA	GIS_LAST_MOD_DTTM	SOURCE	CMPLX_NUM	LIVING_GBA	FULLADDRESS	CITY	STATE	ZIPCODE	NATIONALGRID	LATITUDE	LONGITUDE	ASSESSMENT_NBHD	ASSESSMENT_SUBNBHD	CENSUS_TRACT	CENSUS_BLOCK	WARD	SQUARE	X	Y	QUADRANT
158947	158947	2	0	Forced Air	Y	NaN	4	2	1938.0	2006.0	1938	NaN	2008-06-30 00:00:00	320000.0	U	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	497	2018-07-22 18:01:38	Condominium	2786.0	809.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158948	158948	2	0	Forced Air	Y	NaN	4	2	1938.0	2006.0	1938	NaN	2012-10-22 00:00:00	460000.0	Q	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	573	2018-07-22 18:01:38	Condominium	2786.0	934.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158949	158949	1	1	Forced Air	Y	NaN	4	1	1938.0	2006.0	1938	NaN	2015-06-09 00:00:00	550000.0	Q	6	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	690	2018-07-22 18:01:38	Condominium	2786.0	1123.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158950	158950	3	0	Forced Air	Y	NaN	5	3	1938.0	2006.0	1938	NaN	2015-12-24 00:00:00	635000.0	U	5	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	407	2018-07-22 18:01:38	Condominium	2786.0	1330.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158951	158951	3	1	Forced Air	Y	NaN	5	3	1938.0	2006.0	1938	NaN	2009-11-12 00:00:00	389000.0	U	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	502	2018-07-22 18:01:38	Condominium	2786.0	1413.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158952	158952	1	0	Forced Air	Y	NaN	3	1	1938.0	2006.0	1938	NaN	2015-04-03 00:00:00	399900.0	Q	4	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	394	2018-07-22 18:01:38	Condominium	2786.0	639.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158953	158953	1	0	Forced Air	Y	NaN	4	2	1938.0	2006.0	1938	NaN	2013-10-04 00:00:00	416000.0	Q	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	506	2018-07-22 18:01:38	Condominium	2786.0	820.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158954	158954	2	0	Forced Air	Y	NaN	4	2	1920.0	2007.0	1920	NaN	2008-09-30 00:00:00	600000.0	U	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	16	467	2018-07-22 18:01:38	Condominium	2880.0	1167.0	NaN	NaN	NaN	20001.0	NaN	38.911840	-77.01942	Old City 2	040 B Old City 2	4801.0	NaN	Ward 6	477	-77.019422	38.911848	NW
158955	158955	1	0	Warm Cool	Y	NaN	2	0	1965.0	NaN	1965	NaN	2015-04-14 00:00:00	215100.0	Q	3	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	17	332	2018-07-22 18:01:38	Condominium	2275.0	447.0	NaN	NaN	NaN	20024.0	NaN	38.872953	-77.01823	Southwest Waterfront	NaN	11000.0	NaN	Ward 6	504	-77.018232	38.872961	SW
158956	158956	1	0	Warm Cool	Y	NaN	2	0	1965.0	NaN	1965	NaN	2002-07-22 00:00:00	NaN	U	1	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	17	332	2018-07-22 18:01:38	Condominium	2275.0	447.0	NaN	NaN	NaN	20024.0	NaN	38.872953	-77.01823	Southwest Waterfront	NaN	11000.0	NaN	Ward 6	504	-77.018232	38.872961	SW

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter